{"id":785,"date":"2017-03-03T11:06:42","date_gmt":"2017-03-03T16:06:42","guid":{"rendered":"https:\/\/www.bu.edu\/photonics-ret\/?page_id=785"},"modified":"2021-09-28T12:15:28","modified_gmt":"2021-09-28T16:15:28","slug":"lei-tian","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/photonics-ret\/research-projects\/projects-2025\/2017-summer-projects\/lei-tian\/","title":{"rendered":"Lei Tian"},"content":{"rendered":"

Computational Microscopy Using Coded Illumination for Biomedical Imaging<\/h3>\n

PROJECT DESCRIPTION<\/strong>
\n\"LeiThis project aims to develop a computational microscope to address the need for high spatial and temporal throughput imaging technologies for scalable biomedical imaging. Traditional microscopy techniques suffer from the fundamental trade-off among imaging field of view (FOV), spatial resolution and speed, limiting the achievable imaging throughput to a few megapixels per second. Computational microscopy is a new approach that uses computation to circumvent physical limitations by jointly designing hardware and algorithms. It has huge potential in revolutionizing biomedical imaging, as demonstrated by several emerging techniques, such as on-chip holography, interferometric synthetic aperture microscopy and Fourier ptychography. Here we propose development of a new computational microscopy technique that permits high-speed Gigapixel imaging capability, providing high spatial resolution across a large FOV across an extended depth of focus.<\/span><\/p>\n

LABORATORY MENTOR<\/strong>
\nAlex Matlock<\/a><\/p>\n

RESEARCH GOALS<\/strong>
\nDemonstrate label-free, high-throughput microscopy using coded illumination combined with computational reconstruction techniques for large-scale biomedical imaging applications. The core of our technique is based on novel illumination hardware that enables flexible angular patterning using patterned illumination, and novel 3D differential phase contrast and Fourier ptychographic phase-retrieval algorithms to reconstruct super-resolved nanoscale multi-parametric information across a wide field-of-view with an extended depth-of-field.<\/p>\n

LEARNING GOALS<\/strong>
\n\u2022<\/span>\u00a0This project combines optical and optoelectronic instrumentation, image reconstruction and analysis, and microscopy experimental techniques.
\n\u2022<\/span>\u00a0Concepts in optical imaging and microscopy, as well as signal processing techniques of solving linear inverse problems.
\n\u2022<\/span>\u00a0With regards to the optical imaging and microscopy techniques, the student will advance their use and understanding of bright field, dark field, asymmetric illumination based differential phase contrast, and illumination-scanning based 3D phase microscopy.
\n\u2022<\/span>\u00a0Instrumentation methods based on our novel custom-built computational microscope equipped with a programmable LED array illumination unit.
\n\u2022<\/span>\u00a0Critical analytical and signal processing skills in solving inverse problems.<\/p>\n

TIMELINE<\/strong>
\nJun 6 \u2013 mid July:<\/span> Assisting in the construction of the LED array microscope and data collection
\nMid July \u2013 Aug 10:<\/span> 3D reconstruction algorithm development<\/p>\n

Learn more about Professor Tian on his faculty page<\/a>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Computational Microscopy Using Coded Illumination for Biomedical Imaging PROJECT DESCRIPTION This project aims to develop a computational microscope to address the need for high spatial and temporal throughput imaging technologies for scalable biomedical imaging. Traditional microscopy techniques suffer from the fundamental trade-off among imaging field of view (FOV), spatial resolution and speed, limiting the achievable […]<\/p>\n","protected":false},"author":12283,"featured_media":0,"parent":1201,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/pages\/785"}],"collection":[{"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/users\/12283"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/comments?post=785"}],"version-history":[{"count":10,"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/pages\/785\/revisions"}],"predecessor-version":[{"id":1718,"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/pages\/785\/revisions\/1718"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/pages\/1201"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/photonics-ret\/wp-json\/wp\/v2\/media?parent=785"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}