Label-free detection of aggregated platelets in blood by machine-learning-aided optofluidic time-stretch microscopy

Author:

Jiang Yiyue1234ORCID,Lei Cheng12345ORCID,Yasumoto Atsushi6784,Kobayashi Hirofumi1234ORCID,Aisaka Yuri934,Ito Takuro10114,Guo Baoshan1234,Nitta Nao10114ORCID,Kutsuna Natsumaro934,Ozeki Yasuyuki122134,Nakagawa Atsuhiro714154,Yatomi Yutaka6784,Goda Keisuke123410

Affiliation:

1. Department of Chemistry

2. University of Tokyo

3. Tokyo 113-0033

4. Japan

5. Department of Electronic Engineering

6. Department of Clinical Laboratory Medicine

7. Graduate School of Medicine

8. The University of Tokyo

9. LPixel

10. Japan Science and Technology Agency

11. Kawaguchi 332-0012

12. Department of Electrical Engineering and Information Systems

13. Tokyo 113-8656

14. Tohoku University

15. Sendai 980-8577

Abstract

Machine-learning-assisted identification of platelet aggregation in human blood with label-free images.

Funder

Takeda Science Foundation

Mitsubishi Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Reference42 articles.

1. WHO , Summary of the evidence on patient safety: implications for research, World Health Organization, Geneva, 2008

2. Patient safety in developing countries: retrospective estimation of scale and nature of harm to patients in hospital

3. Thrombosis: a major contributor to the global disease burden

4. Mechanisms of Thrombus Formation

5. R. I. Handin , in Harrison's Principles of Internal Medicine, ed. D. L. Kasper, E. Braunwald, A. S. Fauci, S. L. Hauser, D. L. Longo and J. L. Jameson, McGraw-Hill Professional, 2004, pp. 337–342

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