{"id":5,"date":"2016-07-18T10:22:47","date_gmt":"2016-07-18T14:22:47","guid":{"rendered":"https:\/\/sites.bu.edu\/tianlab\/tian-lab\/"},"modified":"2025-04-25T21:05:59","modified_gmt":"2025-04-26T01:05:59","slug":"tian-lab","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/tianlab\/","title":{"rendered":"Welcome to Computational Imaging Systems Lab\u00a0at Boston University!"},"content":{"rendered":"<p><br style=\"clear: both;\" \/><div class=\"bu-slideshow-container research-highlight autoplay\" id=\"bu-slideshow-container-438\" data-slideshow-name=\"research-highlight\" data-slideshow-delay=\"5000\" style=\"width: auto; height: 100px;\"><div class='slideshow-loader active'><div class='loader-animation'><\/div><p>loading slideshow...<\/p><\/div><div class=\"bu-slideshow-slides\"><ul class=\"bu-slideshow transition-slide\" id=\"bu-slideshow-438\"><li id=\"bu-slideshow-438_0\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/opg.optica.org\/optica\/fulltext.cfm?uri=optica-12-3-406&#038;id=569159\"><img src=\"\/tianlab\/files\/2025\/03\/rMBS-rIDT-636x489.jpeg\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Reflection-mode intensity diffraction tomography (2025)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_1\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.spiedigitallibrary.org\/journals\/advanced-photonics-nexus\/volume-3\/issue-05\/056005\/NeuPh--scalable-and-generalizable-neural-phase-retrieval-with-local\/10.1117\/1.APN.3.5.056005.full\"><img src=\"\/tianlab\/files\/2024\/09\/APN_3_5_056005_f001-636x349.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Local conditional neural fields for Fourier ptychography (2024)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_2\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.nature.com\/articles\/s41377-024-01502-5\"><img src=\"\/tianlab\/files\/2024\/05\/fig1_overview-636x269.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Event-based Lightfield Microscopy, Light: Science &amp; Applications (2024)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_3\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/opg.optica.org\/optica\/fulltext.cfm?uri=optica-11-6-860&#038;id=552177\"><img src=\"\/tianlab\/files\/2024\/05\/FTnet-636x414.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Spatially-varying FourierNet, Optica (2024)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_4\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.nature.com\/articles\/s41592-023-01820-3\"><img src=\"\/tianlab\/files\/2022\/01\/DeepVID-e1641656238498-636x398.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">DeepVID: Self-supervised denoising for voltage imaging, Nature Methods (2023)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_5\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/opg.optica.org\/optica\/fulltext.cfm?uri=optica-9-9-1009&#038;id=497528\"><img src=\"\/tianlab\/files\/2022\/08\/CM2V2-636x180.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Computational Miniature Mesoscope V2, Optica (2022)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_6\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/advances.sciencemag.org\/content\/6\/43\/eabb7508\"><img src=\"\/tianlab\/files\/2020\/10\/CM2_v2-e1603413395736-636x251.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Computational Miniature Mesoscope, Science Advances (2020)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_7\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.osapublishing.org\/optica\/fulltext.cfm?uri=optica-6-5-618&#038;id=412113\"><img src=\"\/tianlab\/files\/2020\/04\/FP-DL-e1603413986958-636x302.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Deep learning phase recovery with uncertainty quantification, Optica (2019)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_8\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.spiedigitallibrary.org\/journals\/advanced-photonics\/volume-1\/issue-06\/066004\/High-speed-in-vitro-intensity-diffraction-tomography\/10.1117\/1.AP.1.6.066004.full?SSO=1\"><img src=\"\/tianlab\/files\/2020\/04\/aIDT-1-e1603414082973.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">High-speed intensity diffraction tomography, Advanced Photonics (2019)<\/p><\/div><\/div><\/li><li id=\"bu-slideshow-438_9\" class=\"slide \"><div class=\"bu-slide-container slide-caption-bottom-center\"><a href=\"https:\/\/www.osapublishing.org\/optica\/fulltext.cfm?uri=optica-5-10-1181&#038;id=398582\"><img src=\"\/tianlab\/files\/2020\/04\/DCS-1-e1603414102691-636x202.png\" alt=\"\" \/><\/a><div class=\"bu-slide-caption caption-bottom-center\"><p class=\"bu-slide-caption-text\">Deep speckle correlation, Optica (2018)<\/p><\/div><\/div><\/li><\/ul><\/div><div class=\"bu-slideshow-navigation-container\"><ul class=\"bu-slideshow-navigation nav-icon\" id=\"bu-slideshow-nav-438\" aria-hidden=\"true\"><li><a href=\"#\" id=\"pager-1\" class=\" active\" aria-hidden=\"true\"><span>1<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-2\" class=\"\" aria-hidden=\"true\"><span>2<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-3\" class=\"\" aria-hidden=\"true\"><span>3<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-4\" class=\"\" aria-hidden=\"true\"><span>4<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-5\" class=\"\" aria-hidden=\"true\"><span>5<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-6\" class=\"\" aria-hidden=\"true\"><span>6<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-7\" class=\"\" aria-hidden=\"true\"><span>7<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-8\" class=\"\" aria-hidden=\"true\"><span>8<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-9\" class=\"\" aria-hidden=\"true\"><span>9<\/span><\/a><\/li> <li><a href=\"#\" id=\"pager-10\" class=\"\" aria-hidden=\"true\"><span>10<\/span><\/a><\/li> <\/ul><\/div><\/div><\/p>\n<p>We develop next-generation imaging systems that synergistically combine<strong> optics<\/strong>\u00a0and <strong>computations<\/strong>. These\u00a0<strong>computational imaging systems<\/strong>\u00a0can overcome physical limitations and achieve novel capabilities that one could not with traditional imaging methods. The core of our work is\u00a0the joint design of the physical layer (optical components, sensors, and devices) and the computational layer (signal processing, and machine learning\u00a0algorithms).<\/p>\n<p>We strive to develop <span style=\"text-decoration: underline;\">innovative<\/span> and <span style=\"text-decoration: underline;\">impactful<\/span> imaging techniques, with a broad spectrum of applications, in particular for <strong><em>biomedical microscopy<\/em><\/strong>, <strong><em>neuroscience<\/em><\/strong>, <em><strong>semi-conductor metrology, <\/strong><\/em>and <strong><em>advanced vision<\/em><\/strong> applications.<\/p>\n<p><span>Please see our <a href=\"https:\/\/sites.bu.edu\/tianlab\/research\/\" title=\"Research\">research<\/a>\u00a0page for more information.<\/span><\/p>\n<p>We are grateful\u00a0for the\u00a0funding support from<\/p>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2016\/07\/nsf-150x150.jpeg\" alt=\"nsf\" width=\"150\" height=\"150\" class=\"alignnone wp-image-849 size-thumbnail\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2016\/07\/nsf-150x150.jpeg 150w, https:\/\/sites.bu.edu\/tianlab\/files\/2016\/07\/nsf-100x100.jpeg 100w, https:\/\/sites.bu.edu\/tianlab\/files\/2016\/07\/nsf.jpeg 225w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\u00a0 \u00a0 \u00a0 \u00a0 <img loading=\"lazy\" src=\"\/tianlab\/files\/2016\/07\/nih-150x150.jpeg\" alt=\"nih\" width=\"150\" height=\"150\" class=\"alignnone wp-image-850 size-thumbnail\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2016\/07\/nih-150x150.jpeg 150w, https:\/\/sites.bu.edu\/tianlab\/files\/2016\/07\/nih-100x100.jpeg 100w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\u00a0\u00a0\u00a0 \u00a0<img loading=\"lazy\" src=\"\/tianlab\/files\/2019\/04\/brain.png\" alt=\"\" width=\"181\" height=\"140\" class=\"alignnone wp-image-1030\" \/>\u00a0 \u00a0 <img loading=\"lazy\" src=\"\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-636x211.png\" alt=\"\" width=\"180\" height=\"60\" class=\"wp-image-1792 alignnone\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-636x211.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-1024x340.png 1024w, https:\/\/sites.bu.edu\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-768x255.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-1536x510.png 1536w, https:\/\/sites.bu.edu\/tianlab\/files\/2021\/12\/Samsung_Logo.svg-2048x680.png 2048w\" sizes=\"(max-width: 180px) 100vw, 180px\" \/>\u00a0 \u00a0 <img loading=\"lazy\" src=\"\/tianlab\/files\/2023\/01\/czi-636x352.png\" alt=\"\" width=\"181\" height=\"100\" class=\"alignnone wp-image-2057\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2023\/01\/czi-636x352.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2023\/01\/czi-1024x567.png 1024w, https:\/\/sites.bu.edu\/tianlab\/files\/2023\/01\/czi-768x425.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2023\/01\/czi.png 1200w\" sizes=\"(max-width: 181px) 100vw, 181px\" \/><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We develop next-generation imaging systems that synergistically combine optics\u00a0and computations. These\u00a0computational imaging systems\u00a0can overcome physical limitations and achieve novel capabilities that one could not with traditional imaging methods. The core of our work is\u00a0the joint design of the physical layer (optical components, sensors, and devices) and the computational layer (signal processing, and machine learning\u00a0algorithms). We [&hellip;]<\/p>\n","protected":false},"author":12228,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/5"}],"collection":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/users\/12228"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/comments?post=5"}],"version-history":[{"count":39,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":2427,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/5\/revisions\/2427"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/media?parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}