Deep learning of diffraction image patterns for accurate classification of five cell types-Reference-Cited by-同舟云学术

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Deep learning of diffraction image patterns for accurate classification of five cell types

Published:2019-12-23 Issue:3 Volume:13 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Jin Jiahong¹²³,Lu Jun Q.¹²,Wen Yuhua¹³,Tian Peng¹³,Hu Xin‐Hua¹²^ORCID

Affiliation:

1. Institute for Advanced OpticsHunan Institute of Science and Technology Yueyang Hunan China

2. Department of PhysicsEast Carolina University Greenville North Carolina

3. School of Physics & Electronic ScienceHunan Institute of Science and Technology Yueyang Hunan China

Funder

Golfers Against Cancer

East Carolina University

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.201900242

Reference32 articles.

1. Therapeutic T cell engineering

2. A comprehensive transcriptional portrait of human cancer cell lines

3. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images

4. Compressive light-field microscopy for 3D neural activity recording

5. Accuracy and precision in quantitative fluorescence microscopy

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1. Review of polarization-based technology for biomedical applications;Journal of Innovative Optical Health Sciences;2024-03-22

2. Analysis of polarized diffraction images of human red blood cells: a numerical study;Biomedical Optics Express;2022-02-03

3. Deep Learning of Morphologic Correlations To Accurately Classify CD4+ and CD8+ T Cells by Diffraction Imaging Flow Cytometry;Analytical Chemistry;2022-01-10

4. Restoring Fluorescence Microscopy Images by Transfer Learning From Tailored Data;IEEE Access;2022

5. A survey on applications of deep learning in microscopy image analysis;Computers in Biology and Medicine;2021-07

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