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data-dom-id="Pill-react-component-fb91a48a-88c9-4ca6-b65f-1b6f8aac7c6d"></div> <div id="Pill-react-component-fb91a48a-88c9-4ca6-b65f-1b6f8aac7c6d"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by xiang zhang</h3></div><div class="js-work-strip profile--work_container" data-work-id="7050508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study"><img alt="Research paper thumbnail of Visual Marker Detection and Decoding in AR Systems: A Comparative Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study">Visual Marker Detection and Decoding in AR Systems: A Comparative Study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Visual markers are widely used in existing augmented reality (AR) applications [7, 12, 1...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Visual markers are widely used in existing augmented reality (AR) applications [7, 12, 11, 19]. In most of such applications, the performance of an AR system depends highly on the tracking system for visual marker detection, tracking, and pose estimation. Currently, ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7050508]").text(description); $(".js-view-count[data-work-id=7050508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7050508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='7050508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=7050508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":7050508,"title":"Visual Marker Detection and Decoding in AR Systems: A Comparative Study","internal_url":"https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study","owner_id":12050673,"coauthors_can_edit":true,"owner":{"id":12050673,"first_name":"xiang","middle_initials":null,"last_name":"zhang","page_name":"xzhang","domain_name":"cambridge","created_at":"2014-05-14T19:04:49.833-07:00","display_name":"xiang zhang","url":"https://cambridge.academia.edu/xzhang"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050507/A_Picoliter_Volume_Mixer_for_Microfluidic_Analytical_Systems"><img alt="Research paper thumbnail of A Picoliter-Volume Mixer for Microfluidic Analytical Systems" class="work-thumbnail" src="https://attachments.academia-assets.com/48619033/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050507/A_Picoliter_Volume_Mixer_for_Microfluidic_Analytical_Systems">A Picoliter-Volume Mixer for Microfluidic Analytical Systems</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Mixing confluent liquid streams is an important, but difficult operation in microfluidic systems....</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Mixing confluent liquid streams is an important, but difficult operation in microfluidic systems. This paper reports the construction and characterization of a 100-pL mixer for liquids transported by electroosmotic flow. Mixing was achieved in a microfabricated device with multiple intersecting channels of varying lengths and a bimodal width distribution. All channels running parallel to the direction of flow were 5 µm in width whereas larger 27-µm-width channels ran back and forth through the parallel channel network at a 45°angle. The channel network composing the mixer was ∼10 µm deep. It was observed that little mixing of the confluent solvent streams occurred in the 100-µm-wide, 300-µm-long mixer inlet channel where mixing would be achieved almost exclusively by diffusion. In contrast, after passage through the channel network in the ∼200-µm-length static mixer bed, mixing was complete as determined by confocal microscopy and CCD detection. Theoretical simulations were also performed in an attempt to describe the extent of mixing in microfabricated systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7276dfb5591860c8aef9d2c027ff68b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619033,"asset_id":7050507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619033/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050507; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7050507]").text(description); $(".js-view-count[data-work-id=7050507]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7050507; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='7050507']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050505"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050505/Focusing_Surface_Plasmons_with_a_Plasmonic_Lens"><img alt="Research paper thumbnail of Focusing Surface Plasmons with a Plasmonic Lens" class="work-thumbnail" src="https://attachments.academia-assets.com/48619017/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050505/Focusing_Surface_Plasmons_with_a_Plasmonic_Lens">Focusing Surface Plasmons with a Plasmonic Lens</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report the focusing of surface plasmon polaritons by circular and elliptical structures milled...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report the focusing of surface plasmon polaritons by circular and elliptical structures milled into optically thick metallic films or plasmonic lenses. Both theoretical and experimental data for the electromagnetic nearfield is presented. The nearfield is mapped experimentally using nearfield scanning optical microscopy and plasmonic lithography. We find that the intensity at the focal points of the plasmonic lenses increases with size.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea6d3c9c544d7273ced2249f26fc9d9f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619017,"asset_id":7050505,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619017/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050505"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050505"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050505; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7050505]").text(description); $(".js-view-count[data-work-id=7050505]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7050505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='7050505']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050504/Plasmonic_Nanolithography"><img alt="Research paper thumbnail of Plasmonic Nanolithography" class="work-thumbnail" src="https://attachments.academia-assets.com/48619026/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050504/Plasmonic_Nanolithography">Plasmonic Nanolithography</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, we demonstrate high-density nanolithography by utilizing surface plasmons (SPs). S...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper, we demonstrate high-density nanolithography by utilizing surface plasmons (SPs). SPs are excited on an aluminum substrate perforated with 2-D hole arrays using a near UV light source in order to resolve sub-wavelength features with high transmission. Our lithography experiments using a 365 nm wavelength light source demonstrate 90 nm dot array patterns on a 170 nm period, well beyond the diffraction limit of far-field optical lithography. In far-field transmission measurements, strong UV light transmission and the wavelength-dependent transmission are observed, which confirms the contribution of SPs. Furthermore, an exposure with larger spacing between the mask and photoresist has been explored for potential noncontact lithography.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d3e4c7d74b77ecc71f8e2a1dabed005f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619026,"asset_id":7050504,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619026/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050504; 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First, we did not find any evidence for regular scan patterns, and the average number of saccades to find the target under the different conditions was always significantly less than the number of saccades that would be required to find the target by chance (fig. S2A) (t tests, P G 10 -5 ). Second, the median fixation duration across those saccades was less than half and significantly less than the minimum 700-ms fixation duration required to correctly signal the acquisition of the target ( ) (P G 10 -5 ). Finally, the pattern of fixations on distracters indicated that the target color had a large effect on the distracters that were fixated. During color search, monkeys were significantly more likely to fixate a distracter with a color similar to the cued target color (e.g., an orange or magenta stimulus if the cue was red) or distracters with the second cued color in a given session than they were to fixate other distracters ( ) (analysis of variance, P G 10 -5 ; group comparisons, P G 0.05). Likewise, they also fixated distracters with colors similar to the cued color significantly longer than other distracters ( ) (analysis of variance, P G 10 -5 ; group comparisons, P G 0.05). For shape search, there was no reliable method to measure perceptual similarity among shapes. However, consistent with the results in color search, the monkeys showed significant differences in fixations on distracters depending on the shape of the searched-for target. 22. Across the population, there were no significant differences in either the average fixation number or the relative contribution of the first fixation after array onset to the data used in comparing the four conditions of interest for each visual search. 23. Fifteen sessions were performed with one monkey and twelve with the other. 24. Forty-four neurons (in 23 sessions) contributed to the analysis of feature enhancement during color search based on significant color selectivity for the two color cues used, and 38 neurons (in 21 sessions) contributed to the analysis of feature enhancement during shape search based on significant shape selectivity. Sixty-one and 57 LFP signals contributed to the analyses of color and shape search, respectively. 25. We calculated the coherence between spikes on one electrode and the LFP recorded on all other electrodes separately. It made no difference in the overall results whether the LFP from the same electrode was used or not, and therefore we included it in our analyses.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0bf67fbe0f431e1804f787f7a35c4dd6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619037,"asset_id":7050501,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619037/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050501"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050501"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050501; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="1434099" id="papers"><div class="js-work-strip profile--work_container" data-work-id="7050508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study"><img alt="Research paper thumbnail of Visual Marker Detection and Decoding in AR Systems: A Comparative Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study">Visual Marker Detection and Decoding in AR Systems: A Comparative Study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Visual markers are widely used in existing augmented reality (AR) applications [7, 12, 1...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Visual markers are widely used in existing augmented reality (AR) applications [7, 12, 11, 19]. In most of such applications, the performance of an AR system depends highly on the tracking system for visual marker detection, tracking, and pose estimation. Currently, ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7050508]").text(description); $(".js-view-count[data-work-id=7050508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7050508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='7050508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=7050508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":7050508,"title":"Visual Marker Detection and Decoding in AR Systems: A Comparative Study","internal_url":"https://www.academia.edu/7050508/Visual_Marker_Detection_and_Decoding_in_AR_Systems_A_Comparative_Study","owner_id":12050673,"coauthors_can_edit":true,"owner":{"id":12050673,"first_name":"xiang","middle_initials":null,"last_name":"zhang","page_name":"xzhang","domain_name":"cambridge","created_at":"2014-05-14T19:04:49.833-07:00","display_name":"xiang zhang","url":"https://cambridge.academia.edu/xzhang"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050507/A_Picoliter_Volume_Mixer_for_Microfluidic_Analytical_Systems"><img alt="Research paper thumbnail of A Picoliter-Volume Mixer for Microfluidic Analytical Systems" class="work-thumbnail" src="https://attachments.academia-assets.com/48619033/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050507/A_Picoliter_Volume_Mixer_for_Microfluidic_Analytical_Systems">A Picoliter-Volume Mixer for Microfluidic Analytical Systems</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Mixing confluent liquid streams is an important, but difficult operation in microfluidic systems....</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Mixing confluent liquid streams is an important, but difficult operation in microfluidic systems. This paper reports the construction and characterization of a 100-pL mixer for liquids transported by electroosmotic flow. Mixing was achieved in a microfabricated device with multiple intersecting channels of varying lengths and a bimodal width distribution. All channels running parallel to the direction of flow were 5 µm in width whereas larger 27-µm-width channels ran back and forth through the parallel channel network at a 45°angle. The channel network composing the mixer was ∼10 µm deep. It was observed that little mixing of the confluent solvent streams occurred in the 100-µm-wide, 300-µm-long mixer inlet channel where mixing would be achieved almost exclusively by diffusion. In contrast, after passage through the channel network in the ∼200-µm-length static mixer bed, mixing was complete as determined by confocal microscopy and CCD detection. Theoretical simulations were also performed in an attempt to describe the extent of mixing in microfabricated systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7276dfb5591860c8aef9d2c027ff68b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619033,"asset_id":7050507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619033/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050507; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050505"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050505/Focusing_Surface_Plasmons_with_a_Plasmonic_Lens"><img alt="Research paper thumbnail of Focusing Surface Plasmons with a Plasmonic Lens" class="work-thumbnail" src="https://attachments.academia-assets.com/48619017/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050505/Focusing_Surface_Plasmons_with_a_Plasmonic_Lens">Focusing Surface Plasmons with a Plasmonic Lens</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report the focusing of surface plasmon polaritons by circular and elliptical structures milled...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report the focusing of surface plasmon polaritons by circular and elliptical structures milled into optically thick metallic films or plasmonic lenses. Both theoretical and experimental data for the electromagnetic nearfield is presented. The nearfield is mapped experimentally using nearfield scanning optical microscopy and plasmonic lithography. We find that the intensity at the focal points of the plasmonic lenses increases with size.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea6d3c9c544d7273ced2249f26fc9d9f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619017,"asset_id":7050505,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619017/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050505"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050505"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050505; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7050505]").text(description); $(".js-view-count[data-work-id=7050505]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7050505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='7050505']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050504/Plasmonic_Nanolithography"><img alt="Research paper thumbnail of Plasmonic Nanolithography" class="work-thumbnail" src="https://attachments.academia-assets.com/48619026/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050504/Plasmonic_Nanolithography">Plasmonic Nanolithography</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, we demonstrate high-density nanolithography by utilizing surface plasmons (SPs). S...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper, we demonstrate high-density nanolithography by utilizing surface plasmons (SPs). SPs are excited on an aluminum substrate perforated with 2-D hole arrays using a near UV light source in order to resolve sub-wavelength features with high transmission. Our lithography experiments using a 365 nm wavelength light source demonstrate 90 nm dot array patterns on a 170 nm period, well beyond the diffraction limit of far-field optical lithography. In far-field transmission measurements, strong UV light transmission and the wavelength-dependent transmission are observed, which confirms the contribution of SPs. Furthermore, an exposure with larger spacing between the mask and photoresist has been explored for potential noncontact lithography.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d3e4c7d74b77ecc71f8e2a1dabed005f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619026,"asset_id":7050504,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619026/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050504; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050502"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050502/Far_Field_Optical_Hyperlens_Magnifying_Sub_Diffraction_Limited_Objects"><img alt="Research paper thumbnail of Far-Field Optical Hyperlens Magnifying Sub-Diffraction-Limited Objects" class="work-thumbnail" src="https://attachments.academia-assets.com/48619020/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050502/Far_Field_Optical_Hyperlens_Magnifying_Sub_Diffraction_Limited_Objects">Far-Field Optical Hyperlens Magnifying Sub-Diffraction-Limited Objects</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e6ebaa6f4557177bb66e6ff0b7074efd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619020,"asset_id":7050502,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619020/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050502"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050502"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050502; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="7050501"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/7050501/Sub_Diffraction_Limited_Optical_Imaging_with_a_Silver_Superlens"><img alt="Research paper thumbnail of Sub-Diffraction-Limited Optical Imaging with a Silver Superlens" class="work-thumbnail" src="https://attachments.academia-assets.com/48619037/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/7050501/Sub_Diffraction_Limited_Optical_Imaging_with_a_Silver_Superlens">Sub-Diffraction-Limited Optical Imaging with a Silver Superlens</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Several lines of evidence suggest that the monkeys used the feature of the cue to guide their sea...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Several lines of evidence suggest that the monkeys used the feature of the cue to guide their search and did not make fixations around the array randomly. First, we did not find any evidence for regular scan patterns, and the average number of saccades to find the target under the different conditions was always significantly less than the number of saccades that would be required to find the target by chance (fig. S2A) (t tests, P G 10 -5 ). Second, the median fixation duration across those saccades was less than half and significantly less than the minimum 700-ms fixation duration required to correctly signal the acquisition of the target ( ) (P G 10 -5 ). Finally, the pattern of fixations on distracters indicated that the target color had a large effect on the distracters that were fixated. During color search, monkeys were significantly more likely to fixate a distracter with a color similar to the cued target color (e.g., an orange or magenta stimulus if the cue was red) or distracters with the second cued color in a given session than they were to fixate other distracters ( ) (analysis of variance, P G 10 -5 ; group comparisons, P G 0.05). Likewise, they also fixated distracters with colors similar to the cued color significantly longer than other distracters ( ) (analysis of variance, P G 10 -5 ; group comparisons, P G 0.05). For shape search, there was no reliable method to measure perceptual similarity among shapes. However, consistent with the results in color search, the monkeys showed significant differences in fixations on distracters depending on the shape of the searched-for target. 22. Across the population, there were no significant differences in either the average fixation number or the relative contribution of the first fixation after array onset to the data used in comparing the four conditions of interest for each visual search. 23. Fifteen sessions were performed with one monkey and twelve with the other. 24. Forty-four neurons (in 23 sessions) contributed to the analysis of feature enhancement during color search based on significant color selectivity for the two color cues used, and 38 neurons (in 21 sessions) contributed to the analysis of feature enhancement during shape search based on significant shape selectivity. Sixty-one and 57 LFP signals contributed to the analyses of color and shape search, respectively. 25. We calculated the coherence between spikes on one electrode and the LFP recorded on all other electrodes separately. It made no difference in the overall results whether the LFP from the same electrode was used or not, and therefore we included it in our analyses.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0bf67fbe0f431e1804f787f7a35c4dd6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":48619037,"asset_id":7050501,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/48619037/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="7050501"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="7050501"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7050501; 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