High-throughput label-free screening of Euglena gracilis with optofluidic time-stretch quantitative phase microscopy

被引:0
|
作者
Guo, Baoshan [1 ]
Lei, Cheng [1 ,2 ]
Ito, Takuro [3 ]
Yaxiaer, Yalikun [4 ]
Kobayashi, Hirofumi [1 ]
Jiang, Yiyue [1 ]
Tanaka, Yo [4 ]
Ozeki, Yasuyuki [5 ]
Goda, Keisuke [1 ,3 ,6 ]
机构
[1] Univ Tokyo, Dept Chem, Tokyo 1130033, Japan
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Japan Sci & Technol Agcy, Kawaguchi, Saitama 3320012, Japan
[4] RIKEN, Quantitat Biol Ctr, Lab Integrated Biodevices, Osaka 5650871, Japan
[5] Univ Tokyo, Dept Elect Engn & Informat Syst, Tokyo 1138656, Japan
[6] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
关键词
high-throughput screening; biofuel; Euglena gracilis; global warming; microfluidics; optofluidics; single-cell analysis; quantitative phase microscopy; NITROGEN STARVATION; MICROALGAE; ACCUMULATION; DYNAMICS;
D O I
10.1117/12.2251157
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The development of reliable, sustainable, and economical sources of alternative fuels is an important, but challenging goal for the world. As an alternative to liquid fossil fuels, microalgal biofuel is expected to play a key role in reducing the detrimental effects of global warming since microalgae absorb atmospheric CO2 via photosynthesis. Unfortunately, conventional analytical methods only provide population-averaged lipid contents and fail to characterize a diverse population of microalgal cells with single-cell resolution in a non-invasive and interference-free manner. Here we demonstrate high-throughput label-free single-cell screening of lipid-producing microalgal cells with optofluidic time-stretch quantitative phase microscopy. In particular, we use Euglena gracilis -an attractive microalgal species that produces wax esters (suitable for biodiesel and aviation fuel after refinement) within lipid droplets. Our optofluidic time-stretch quantitative phase microscope is based on an integration of a hydrodynamic-focusing microfluidic chip, an optical time-stretch phase-contrast microscope, and a digital image processor equipped with machine learning. As a result, it provides both the opacity and phase contents of every single cell at a high throughput of 10,000 cells/s. We characterize heterogeneous populations of E. gracilis cells under two different culture conditions to evaluate their lipid production efficiency. Our method holds promise as an effective analytical tool for microalgae-based biofuel production.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] High-throughput, label-free, multivariate cell analysis with optofluidic time-stretch microscopy
    Lei, Cheng
    Guo, Baoshan
    Jiang, Yiyue
    Wu, Yi
    Kobayashi, Hirofumi
    Ito, Takuro
    Yasumoto, Atsushi
    Yatomi, Yutaka
    Ozeki, Yasuyuki
    Goda, Keisuke
    2017 CONFERENCE ON LASERS AND ELECTRO-OPTICS PACIFIC RIM (CLEO-PR), 2017,
  • [2] High-Throughput Accurate Single-Cell Screening of Euglena gracilis with Fluorescence-Assisted Optofluidic Time-Stretch Microscopy
    Guo, Baoshan
    Lei, Cheng
    Ito, Takuro
    Jiang, Yiyue
    Ozeki, Yasuyuki
    Goda, Keisuke
    PLOS ONE, 2016, 11 (11):
  • [3] High-Throughput, Label-Free, Single-Cell, Microalgal Lipid Screening by Machine-Learning- Equipped Optofluidic Time-Stretch Quantitative Phase Microscopy
    Guo, Baoshan
    Lei, Cheng
    Kobayashi, Hirofumi
    Ito, Takuro
    Yalikun, Yaxiaer
    Jiang, Yiyue
    Tanaka, Yo
    Ozeki, Yasuyuki
    Goda, Keisuke
    CYTOMETRY PART A, 2017, 91A (05) : 494 - 502
  • [4] Optofluidic time-stretch quantitative phase microscopy
    Guo, Baoshan
    Lei, Cheng
    Wu, Yi
    Kobayashi, Hirofumi
    Ito, Takuro
    Yalikun, Yaxiaer
    Lee, Sangwook
    Isozaki, Akihiro
    Li, Ming
    Jiang, Yiyue
    Yasumoto, Atsushi
    Di Carlo, Dino
    Tanaka, Yo
    Yatomi, Yutaka
    Ozeki, Yasuyuki
    Goda, Keisuke
    METHODS, 2018, 136 : 116 - 125
  • [5] High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
    Cheng Lei
    Hirofumi Kobayashi
    Yi Wu
    Ming Li
    Akihiro Isozaki
    Atsushi Yasumoto
    Hideharu Mikami
    Takuro Ito
    Nao Nitta
    Takeaki Sugimura
    Makoto Yamada
    Yutaka Yatomi
    Dino Di Carlo
    Yasuyuki Ozeki
    Keisuke Goda
    Nature Protocols, 2018, 13 : 1603 - 1631
  • [6] High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
    Lei, Cheng
    Kobayashi, Hirofumi
    Wu, Yi
    Li, Ming
    Isozaki, Akihiro
    Yasumoto, Atsushi
    Mikami, Hideharu
    Ito, Takuro
    Nitta, Nao
    Sugimura, Takeaki
    Yamada, Makoto
    Yatomi, Yutaka
    Di Carlo, Dino
    Ozeki, Yasuyuki
    Goda, Keisuke
    NATURE PROTOCOLS, 2018, 13 (07) : 1603 - 1631
  • [7] Label-free cell-cycle analysis by high-throughput quantitative phase time-stretch imaging flow cytometry
    Mok, Aaron T. Y.
    Lee, Kelvin C. M.
    Wong, Kenneth K. Y.
    Tsia, Kevin K.
    HIGH-SPEED BIOMEDICAL IMAGING AND SPECTROSCOPY III: TOWARD BIG DATA INSTRUMENTATION AND MANAGEMENT, 2018, 10505
  • [8] A high-throughput label-free time-stretch acoustofluidic imaging cytometer for single-cell mechanotyping
    Wanyue Zhao
    Han Wang
    Yingxue Guo
    Kai Sun
    Zhen Cheng
    Hongwei Chen
    Microfluidics and Nanofluidics, 2020, 24
  • [9] A high-throughput label-free time-stretch acoustofluidic imaging cytometer for single-cell mechanotyping
    Zhao, Wanyue
    Wang, Han
    Guo, Yingxue
    Sun, Kai
    Cheng, Zhen
    Chen, Hongwei
    MICROFLUIDICS AND NANOFLUIDICS, 2020, 24 (11)
  • [10] Fast intelligent cell phenotyping for high-throughput optofluidic time-stretch microscopy based on the XGBoost algorithm
    Zhao, Wanyue
    Guo, Yingxue
    Yang, Sigang
    Chen, Minghua
    Chen, Hongwei
    JOURNAL OF BIOMEDICAL OPTICS, 2020, 25 (06)