Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy-Reference-Cited by-同舟云学术

Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy

Author:

Cheng Shiyi¹^ORCID,Fu Sipei²^ORCID,Kim Yumi Mun³^ORCID,Song Weiye⁴^ORCID,Li Yunzhe¹^ORCID,Xue Yujia¹^ORCID,Yi Ji¹⁴⁵^ORCID,Tian Lei¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.

2. Department of Biology, Boston University, Boston, MA 02215, USA.

3. Department of Philosophy & Neuroscience, Boston University, Boston, MA 02215, USA.

4. Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA 02118, USA.

5. Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.

Abstract

Deep learning–augmented reflectance microscopy enables label-free multiplexed cytometry.

Funder

National Science Foundation

National Institutes of Health

Boston University Hariri Institute Research Incubation Award

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference44 articles.

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