Minh Doan, Ph.D., M.D.
Affiliations: | 2016- | Imaging Platform | Broad Institute of MIT and Harvard, USA |
Area:
Leukemia, Imaging Flow Cytometry, Assay DevelopmentGoogle:
"Minh Doan"
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Publications
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| Barnes CM, Power AL, Barber DG, et al. (2023) Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry. The New Phytologist |
| Rees P, Summers HD, Filby A, et al. (2022) Imaging flow cytometry: a primer. Nature Reviews. Methods Primers. 2 |
| Rohban MH, Fuller AM, Tan C, et al. (2022) Virtual screening for small-molecule pathway regulators by image-profile matching. Cell Systems |
| Wills JW, Verma JR, Rees BJ, et al. (2021) Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning. Archives of Toxicology |
| Doan M, Barnes C, McQuin C, et al. (2021) Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry. Nature Protocols |
| Doan M, Sebastian JA, Caicedo JC, et al. (2020) Objective assessment of stored blood quality by deep learning. Proceedings of the National Academy of Sciences of the United States of America |
| Doan M, Case M, Masic D, et al. (2020) Label-Free Leukemia Monitoring by Computer Vision. Cytometry. Part a : the Journal of the International Society For Analytical Cytology |
| Caicedo JC, Goodman A, Karhohs KW, et al. (2020) Publisher Correction: Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods |
| Caicedo JC, Goodman A, Karhohs KW, et al. (2019) Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods |
| Nassar M, Doan M, Filby A, et al. (2019) Label-Free Identification of White Blood Cells Using Machine Learning. Cytometry. Part a : the Journal of the International Society For Analytical Cytology |