Literature DB >> 35781959

High-speed 3D imaging flow cytometry with optofluidic spatial transformation.

Masashi Ugawa1, Sadao Ota1.   

Abstract

Three-dimensional (3D) fluorescence imaging is important to accurately capture and understand biological structures and phenomena. However, because of its slow acquisition speed, it was difficult to implement 3D fluorescence imaging for imaging flow cytometry. Especially, modern flow cytometers operate at a flow velocity of 1-10 m/s, and no 3D fluorescence imaging technique was able to capture cells at such high velocity. Here, we present a high-speed 3D fluorescence imaging technique in which a set of optical cross sections of a cell is captured within a single frame of a camera by combining strobe light-sheet excitation and optofluidic spatial transformation. Using this technique, we demonstrated 3D fluorescence imaging of cells flowing at a velocity of over 10 m/s, which is the fastest to our knowledge. Such technology can allow integration of 3D imaging with flow systems of common flow cytometers and cell sorters.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35781959      PMCID: PMC9208600          DOI: 10.1364/BOE.455714

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  20 in total

1.  Cellular image analysis and imaging by flow cytometry.

Authors:  David A Basiji; William E Ortyn; Luchuan Liang; Vidya Venkatachalam; Philip Morrissey
Journal:  Clin Lab Med       Date:  2007-09       Impact factor: 1.935

2.  A light sheet based high throughput 3D-imaging flow cytometer for phytoplankton analysis.

Authors:  Jianglai Wu; Jianping Li; Robert K Y Chan
Journal:  Opt Express       Date:  2013-06-17       Impact factor: 3.894

3.  Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy.

Authors:  Philipp J Keller; Annette D Schmidt; Joachim Wittbrodt; Ernst H K Stelzer
Journal:  Science       Date:  2008-10-09       Impact factor: 47.728

4.  Intelligent Image-Activated Cell Sorting.

Authors:  Nao Nitta; Takeaki Sugimura; Akihiro Isozaki; Hideharu Mikami; Kei Hiraki; Shinya Sakuma; Takanori Iino; Fumihito Arai; Taichiro Endo; Yasuhiro Fujiwaki; Hideya Fukuzawa; Misa Hase; Takeshi Hayakawa; Kotaro Hiramatsu; Yu Hoshino; Mary Inaba; Takuro Ito; Hiroshi Karakawa; Yusuke Kasai; Kenichi Koizumi; SangWook Lee; Cheng Lei; Ming Li; Takanori Maeno; Satoshi Matsusaka; Daichi Murakami; Atsuhiro Nakagawa; Yusuke Oguchi; Minoru Oikawa; Tadataka Ota; Kiyotaka Shiba; Hirofumi Shintaku; Yoshitaka Shirasaki; Kanako Suga; Yuta Suzuki; Nobutake Suzuki; Yo Tanaka; Hiroshi Tezuka; Chihana Toyokawa; Yaxiaer Yalikun; Makoto Yamada; Mai Yamagishi; Takashi Yamano; Atsushi Yasumoto; Yutaka Yatomi; Masayuki Yazawa; Dino Di Carlo; Yoichiroh Hosokawa; Sotaro Uemura; Yasuyuki Ozeki; Keisuke Goda
Journal:  Cell       Date:  2018-08-27       Impact factor: 41.582

5.  Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis.

Authors:  Etsuo A Susaki; Kazuki Tainaka; Dimitri Perrin; Fumiaki Kishino; Takehiro Tawara; Tomonobu M Watanabe; Chihiro Yokoyama; Hirotaka Onoe; Megumi Eguchi; Shun Yamaguchi; Takaya Abe; Hiroshi Kiyonari; Yoshihiro Shimizu; Atsushi Miyawaki; Hideo Yokota; Hiroki R Ueda
Journal:  Cell       Date:  2014-04-17       Impact factor: 41.582

6.  Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution.

Authors:  Ruixuan Gao; Shoh M Asano; Srigokul Upadhyayula; Igor Pisarev; Daniel E Milkie; Tsung-Li Liu; Ved Singh; Austin Graves; Grace H Huynh; Yongxin Zhao; John Bogovic; Jennifer Colonell; Carolyn M Ott; Christopher Zugates; Susan Tappan; Alfredo Rodriguez; Kishore R Mosaliganti; Shu-Hsien Sheu; H Amalia Pasolli; Song Pang; C Shan Xu; Sean G Megason; Harald Hess; Jennifer Lippincott-Schwartz; Adam Hantman; Gerald M Rubin; Tom Kirchhausen; Stephan Saalfeld; Yoshinori Aso; Edward S Boyden; Eric Betzig
Journal:  Science       Date:  2019-01-18       Impact factor: 47.728

7.  Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms.

Authors:  Tsung-Li Liu; Srigokul Upadhyayula; Daniel E Milkie; Ved Singh; Kai Wang; Ian A Swinburne; Kishore R Mosaliganti; Zach M Collins; Tom W Hiscock; Jamien Shea; Abraham Q Kohrman; Taylor N Medwig; Daphne Dambournet; Ryan Forster; Brian Cunniff; Yuan Ruan; Hanako Yashiro; Steffen Scholpp; Elliot M Meyerowitz; Dirk Hockemeyer; David G Drubin; Benjamin L Martin; David Q Matus; Minoru Koyama; Sean G Megason; Tom Kirchhausen; Eric Betzig
Journal:  Science       Date:  2018-04-20       Impact factor: 47.728

Review 8.  Review: imaging technologies for flow cytometry.

Authors:  Yuanyuan Han; Yi Gu; Alex Ce Zhang; Yu-Hwa Lo
Journal:  Lab Chip       Date:  2016-11-29       Impact factor: 6.799

9.  Lattice light-sheet microscopy: imaging molecules to embryos at high spatiotemporal resolution.

Authors:  Bi-Chang Chen; Wesley R Legant; Kai Wang; Lin Shao; Daniel E Milkie; Michael W Davidson; Chris Janetopoulos; Xufeng S Wu; John A Hammer; Zhe Liu; Brian P English; Yuko Mimori-Kiyosue; Daniel P Romero; Alex T Ritter; Jennifer Lippincott-Schwartz; Lillian Fritz-Laylin; R Dyche Mullins; Diana M Mitchell; Joshua N Bembenek; Anne-Cecile Reymann; Ralph Böhme; Stephan W Grill; Jennifer T Wang; Geraldine Seydoux; U Serdar Tulu; Daniel P Kiehart; Eric Betzig
Journal:  Science       Date:  2014-10-23       Impact factor: 47.728

10.  Swept confocally-aligned planar excitation (SCAPE) microscopy for high speed volumetric imaging of behaving organisms.

Authors:  Matthew B Bouchard; Venkatakaushik Voleti; César S Mendes; Clay Lacefield; Wesley B Grueber; Richard S Mann; Randy M Bruno; Elizabeth M C Hillman
Journal:  Nat Photonics       Date:  2015-02       Impact factor: 38.771

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