Optofluidic time-stretch quantitative phase microscopy

Baoshan Guo, Cheng Lei, Yi Wu, Hirofumi Kobayashi, Takuro Ito, Yaxiaer Yalikun, Sangwook Lee, Akihiro Isozaki, Ming Li, Yiyue Jiang, Atsushi Yasumoto, Dino Di Carlo, Yo Tanaka, Yutaka Yatomi, Yasuyuki Ozeki, Keisuke Goda

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

Innovations in optical microscopy have opened new windows onto scientific research, industrial quality control, and medical practice over the last few decades. One of such innovations is optofluidic time-stretch quantitative phase microscopy – an emerging method for high-throughput quantitative phase imaging that builds on the interference between temporally stretched signal and reference pulses by using dispersive properties of light in both spatial and temporal domains in an interferometric configuration on a microfluidic platform. It achieves the continuous acquisition of both intensity and phase images with a high throughput of more than 10,000 particles or cells per second by overcoming speed limitations that exist in conventional quantitative phase imaging methods. Applications enabled by such capabilities are versatile and include characterization of cancer cells and microalgal cultures. In this paper, we review the principles and applications of optofluidic time-stretch quantitative phase microscopy and discuss its future perspective.
Original languageEnglish
Pages (from-to)116-125
Number of pages10
JournalMethods
Volume136
DOIs
Publication statusPublished - 1 Mar 2018
Externally publishedYes

Keywords

  • Quantitative phase imaging
  • Optofluidic time-stretch microscopy
  • High-throughput screening
  • Single-cell analysis
  • Machine learning
  • Microfluidics

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