Comment on "Ghost cytometry"

Dino Di Carlo; Fumihito Arai; Keisuke Goda; Tony Jun Huang; Yu-Hwa Lo; Nao Nitta; Yasuyuki Ozeki; Kevin Tsia; Sotaro Uemura; Kenneth K Y Wong

doi:10.1126/science.aav1429

Comment on "Ghost cytometry"

Science. 2019 Apr 19;364(6437):eaav1429. doi: 10.1126/science.aav1429. Epub 2019 Apr 18.

Authors

Dino Di Carlo¹, Fumihito Arai², Keisuke Goda³, Tony Jun Huang⁴, Yu-Hwa Lo⁵, Nao Nitta^{3

6}, Yasuyuki Ozeki⁷, Kevin Tsia⁸, Sotaro Uemura⁹, Kenneth K Y Wong⁸

Affiliations

¹ Department of Bioengineering, University of California, Los Angeles, CA, USA. dicarlo@ucla.edu.
² Department of Micro-Nano Systems Engineering, Nagoya University, Nagoya, Japan.
³ Department of Chemistry, University of Tokyo, Tokyo, Japan.
⁴ Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
⁵ Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA.
⁶ Japan Science and Technology Agency, Saitama, Japan.
⁷ Department of Electrical Engineering and Information Systems, University of Tokyo, Tokyo, Japan.
⁸ Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China.
⁹ Department of Biological Sciences, University of Tokyo, Tokyo, Japan.

PMID: 31000635
DOI: 10.1126/science.aav1429

Abstract

Ota et al (Reports, 15 June 2018, p. 1246) report using pseudo-random optical masks and a spatial-temporal transformation to perform blur-free, high-frame rate imaging of cells in flow with a high signal-to-noise ratio. They also claim sorting at rates of 3000 cells per second, based on imaging data. The experiments conducted and results reported in their study are insufficient to support these conclusions.

Publication types

Comment

MeSH terms

Flow Cytometry* / methods
Signal-To-Noise Ratio