Intrinsic cytometry based on computational microscopy

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Cataloged from student-subm...

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Main Author: Apichitsopa, Nicha
Other Authors: Joel Voldman.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/107030
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1070302019-05-02T16:02:59Z Intrinsic cytometry based on computational microscopy Apichitsopa, Nicha Joel Voldman. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 123-131). With the goal of understanding cells, we propose to study the intrinsic properties of individual cells by combining visual observation from large field-of-view computational microscopy with separation of cells via an integrated label-free microfluidic platform. This intrinsic cytometry will benefit from the parallel and gentle separation of label-free cells via a microfluidic platform and parallel tracking of multiple cells via a large field-of view microscopy in contrast to the gold standard, flow cytometry, which is able to rapidly and singly identify multiple cell properties via scattering of external fluorescent cell markers. In this thesis, a prototype of this integrated platform was designed and fabricated. The prototype consisted of a large field-of-view digital in-line holographic microscopy system and a microfluidic deterministic lateral displacement array which separated particles based on size. Each system was first characterized separately and later integrated such that individual cells inside the deterministic lateral displacement array could be recorded and tracked with the large field-of-view digital in-line holographic microscopy system, showing the promise of our proposed intrinsic cytometry. In future studies, if a microfluidic platform can be designed to investigate multiple intrinsic properties of individual cells on the same platform, the intrinsic cytometer will enable a large pool of quantitative measurement data of cell intrinsic properties that can potentially be used for cell characterization and diagnostics. by Nicha Apichitsopa. S.M. 2017-02-22T15:59:43Z 2017-02-22T15:59:43Z 2016 2016 Thesis http://hdl.handle.net/1721.1/107030 971481429 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 131 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Apichitsopa, Nicha
Intrinsic cytometry based on computational microscopy
description Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Cataloged from student-submitted PDF version of thesis. === Includes bibliographical references (pages 123-131). === With the goal of understanding cells, we propose to study the intrinsic properties of individual cells by combining visual observation from large field-of-view computational microscopy with separation of cells via an integrated label-free microfluidic platform. This intrinsic cytometry will benefit from the parallel and gentle separation of label-free cells via a microfluidic platform and parallel tracking of multiple cells via a large field-of view microscopy in contrast to the gold standard, flow cytometry, which is able to rapidly and singly identify multiple cell properties via scattering of external fluorescent cell markers. In this thesis, a prototype of this integrated platform was designed and fabricated. The prototype consisted of a large field-of-view digital in-line holographic microscopy system and a microfluidic deterministic lateral displacement array which separated particles based on size. Each system was first characterized separately and later integrated such that individual cells inside the deterministic lateral displacement array could be recorded and tracked with the large field-of-view digital in-line holographic microscopy system, showing the promise of our proposed intrinsic cytometry. In future studies, if a microfluidic platform can be designed to investigate multiple intrinsic properties of individual cells on the same platform, the intrinsic cytometer will enable a large pool of quantitative measurement data of cell intrinsic properties that can potentially be used for cell characterization and diagnostics. === by Nicha Apichitsopa. === S.M.
author2 Joel Voldman.
author_facet Joel Voldman.
Apichitsopa, Nicha
author Apichitsopa, Nicha
author_sort Apichitsopa, Nicha
title Intrinsic cytometry based on computational microscopy
title_short Intrinsic cytometry based on computational microscopy
title_full Intrinsic cytometry based on computational microscopy
title_fullStr Intrinsic cytometry based on computational microscopy
title_full_unstemmed Intrinsic cytometry based on computational microscopy
title_sort intrinsic cytometry based on computational microscopy
publisher Massachusetts Institute of Technology
publishDate 2017
url http://hdl.handle.net/1721.1/107030
work_keys_str_mv AT apichitsopanicha intrinsiccytometrybasedoncomputationalmicroscopy
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