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High-throughput label-free image cytometry and image-based classification of live Euglena gracilis.
Lei, Cheng; Ito, Takuro; Ugawa, Masashi; Nozawa, Taisuke; Iwata, Osamu; Maki, Masanori; Okada, Genki; Kobayashi, Hirofumi; Sun, Xinlei; Tiamsak, Pimsiri; Tsumura, Norimichi; Suzuki, Kengo; Di Carlo, Dino; Ozeki, Yasuyuki; Goda, Keisuke.
Afiliação
  • Lei C; Department of Chemistry, University of Tokyo, Tokyo, Japan; Department of Electronic Engineering, Tsinghua University, Beijing, China; leicheng@chem.s.u-tokyo.ac.jp.
  • Ito T; Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan; Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Japan.
  • Ugawa M; Department of Chemistry, University of Tokyo, Tokyo, Japan.
  • Nozawa T; Department of Chemistry, University of Tokyo, Tokyo, Japan.
  • Iwata O; euglena Co. Ltd., Tokyo, Japan.
  • Maki M; Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
  • Okada G; Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
  • Kobayashi H; Department of Chemistry, University of Tokyo, Tokyo, Japan.
  • Sun X; Department of Chemistry, University of Tokyo, Tokyo, Japan; Department of Mechanical Engineering, Tsinghua University, Beijing, China.
  • Tiamsak P; Department of Chemistry, University of Tokyo, Tokyo, Japan; Department of Medicine, Thammasat University, Bangkok, Thailand.
  • Tsumura N; Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
  • Suzuki K; euglena Co. Ltd., Tokyo, Japan.
  • Di Carlo D; Department of Bioengineering, University of California, Los Angeles, USA; California NanoSystems Institute, University of California, Los Angeles, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, USA.
  • Ozeki Y; Department of Electrical Engineering and Information Systems, University of Tokyo, Tokyo, Japan.
  • Goda K; Department of Chemistry, University of Tokyo, Tokyo, Japan; Department of Electrical Engineering, University of California, Los Angeles, USA; Japan Science and Technology Agency, Tokyo, Japan; goda@chem.s.u-tokyo.ac.jp.
Biomed Opt Express ; 7(7): 2703-8, 2016 Jul 01.
Article em En | MEDLINE | ID: mdl-27446699
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomed Opt Express Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomed Opt Express Ano de publicação: 2016 Tipo de documento: Article