Author

D. G. Sankaran

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cell Biology· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

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B. Hariharan· 1 shared C. G. Pearson· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperCell Biology

B. Hariharan

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1 paper

Recent·Most cited

Cell BiologybioRxivJan 3, 2020

A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization

D. G. Sankaran, B. Hariharan, C. G. Pearson

This paper develops a semi-automated machine learning tool to analyze centrosome and microtubule organization in breast cancer cells, finding that supernumerary centrosomes increase PCM size and MT density.

DOI 10.1242/jcs.243543

humanimaging

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