Label‐Free and In Situ Identification of Cells via Combinational Machine Learning Models-Reference-Cited by-同舟云学术

Label‐Free and In Situ Identification of Cells via Combinational Machine Learning Models

Published:2021-12-26 Issue: Volume: Page:2101405
ISSN:2366-9608
Container-title:Small Methods
language:en
Short-container-title:Small Methods

Author:

Xue Yun‐fan¹^ORCID,He Yang²,Wang Jing¹,Ren Ke‐feng¹,Tian Pu³,Ji Jian¹^ORCID

Affiliation:

1. MOE Key Laboratory of Macromolecule Synthesis and Functionalization Department of Polymer Science and Engineering Zhejiang University Hangzhou 310027 P. R. China

2. School of Life Sciences Jilin University 2699 Qianjin Street Changchun 130012 P. R. China

3. School of Life Sciences School of Artificial Intelligence Jilin University 2699 Qianjin Street Changchun 130012 P. R. China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smtd.202101405

Reference35 articles.

1. Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology

2. Identification of Selective Inhibitors of Cancer Stem Cells by High-Throughput Screening

3. Surface engineering of cardiovascular stent with endothelial cell selectivity for in vivo re-endothelialisation

4. Reconstructing cell cycle and disease progression using deep learning

5. Content-aware image restoration: pushing the limits of fluorescence microscopy

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