High-throughput Label-free Image Cytometry and Image-based Classification of Live Euglena Gracilis

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2016 Jul 23

PMID 27446699

Citations 12

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

Affiliations

Soon will be listed here.

Abstract

We demonstrate high-throughput label-free single-cell image cytometry and image-based classification of Euglena gracilis (a microalgal species) under different culture conditions. We perform it with our high-throughput optofluidic image cytometer composed of a time-stretch microscope with 780-nm resolution and 75-Hz line rate, and an inertial-focusing microfluidic device. By analyzing a large number of single-cell images from the image cytometer, we identify differences in morphological and intracellular phenotypes between E. gracilis cell groups and statistically classify them under various culture conditions including nitrogen deficiency for lipid induction. Our method holds promise for real-time evaluation of culture techniques for E. gracilis and possibly other microalgae in a non-invasive manner.

Citing Articles

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