Literature DB >> 20596199

Flow cytometry using spectrally encoded confocal microscopy.

Lior Golan1, Dvir Yelin.   

Abstract

Flow cytometry techniques often rely on detecting fluorescence from single cells flowing through the cross section of a laser beam, providing invaluable information on vast numbers of cells. Such techniques, however, are often limited in their ability to resolve clusters of cells or parallel cell flow through large vessels. We present a confocal imaging technique that images unstained cells flowing in parallel through a wide channel, using spectrally encoded reflectance confocal microscopy that does not require mechanical scanning. Images of red blood cells from our system are compared to conventional transmission microscopy, and imaging of flowing red blood cells in vitro is experimentally demonstrated.

Mesh:

Year:  2010        PMID: 20596199     DOI: 10.1364/OL.35.002218

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  10 in total

1.  Reflectance confocal microscopy of red blood cells: simulation and experiment.

Authors:  Adel Zeidan; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2015-10-09       Impact factor: 3.732

2.  Measuring sickle cell morphology during blood flow.

Authors:  Inna Kviatkovsky; Adel Zeidan; Daniella Yeheskely-Hayon; Eveline L Shabad; Eldad J Dann; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2017-02-28       Impact factor: 3.732

3.  In vitro hematocrit measurement using spectrally encoded flow cytometry.

Authors:  Adel Zeidan; Lior Golan; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2016-09-27       Impact factor: 3.732

4.  Scattering oblique plane microscopy for in-vivo blood cell imaging.

Authors:  Gregory N McKay; Ryan C Niemeier; Carlos Castro-González; Nicholas J Durr
Journal:  Biomed Opt Express       Date:  2021-04-05       Impact factor: 3.732

5.  Multi-MHz laser-scanning single-cell fluorescence microscopy by spatiotemporally encoded virtual source array.

Authors:  Jianglai Wu; Anson H L Tang; Aaron T Y Mok; Wenwei Yan; Godfrey C F Chan; Kenneth K Y Wong; Kevin K Tsia
Journal:  Biomed Opt Express       Date:  2017-08-21       Impact factor: 3.732

6.  Measuring the red blood cell shape in capillary flow using spectrally encoded flow cytometry.

Authors:  Lidan Fridman; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2022-08-05       Impact factor: 3.562

7.  High-throughput label-free image cytometry and image-based classification of live Euglena gracilis.

Authors:  Cheng Lei; Takuro Ito; Masashi Ugawa; Taisuke Nozawa; Osamu Iwata; Masanori Maki; Genki Okada; Hirofumi Kobayashi; Xinlei Sun; Pimsiri Tiamsak; Norimichi Tsumura; Kengo Suzuki; Dino Di Carlo; Yasuyuki Ozeki; Keisuke Goda
Journal:  Biomed Opt Express       Date:  2016-06-20       Impact factor: 3.732

8.  Noninvasive imaging of flowing blood cells using label-free spectrally encoded flow cytometry.

Authors:  Lior Golan; Daniella Yeheskely-Hayon; Limor Minai; Eldad J Dann; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2012-05-21       Impact factor: 3.732

9.  Spectroscopic Evaluation of Red Blood Cells of Thalassemia Patients with Confocal Microscopy: A Pilot Study.

Authors:  Laura Rey-Barroso; Mónica Roldán; Francisco J Burgos-Fernández; Susanna Gassiot; Anna Ruiz Llobet; Ignacio Isola; Meritxell Vilaseca
Journal:  Sensors (Basel)       Date:  2020-07-21       Impact factor: 3.576

10.  In vivo noninvasive microscopy of human leucocytes.

Authors:  Matan M Winer; Adel Zeidan; Daniella Yeheskely-Hayon; Lior Golan; Limor Minai; Eldad J Dann; Dvir Yelin
Journal:  Sci Rep       Date:  2017-10-12       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.