Author

Michael Ka Ho Lee

Johns Hopkins UniversityORCID 0009-0005-3557-2062Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:optimal transport· 1 Approach:statistical model· 1

Frequent Co-Authors

Ishan BarmaniD· 2 shared Abhya GuptaiD· 1 shared Andy Nelson· 1 shared Dario PolliiD· 1 shared Lintong WuiD· 1 shared Michael J. BetenbaughiD· 1 shared Peng ZhengiD· 1 shared Renzo VannaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersBiophysics

Ishan BarmanORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintOct 3, 2026

Cellular Density Homeostasis Is Governed by an Anisotropic Attractor and Predictive Feedback Control

Víctor Alcolea-Rodriguez, Abhya Gupta, Michael Ka Ho Lee…·Ishan Barman

The paper identifies an anisotropic attractor and predictive feedback control mechanism governing cellular density homeostasis using single-cell mass-volume measurements.

DOI 10.64898/2026.09.28.755031

statistical modeloptimal transport

𝕏 PostBluesky

BiophysicsNano LettersPeer-reviewedApr 3, 2025

Deep Learning-Powered Colloidal Digital SERS for Precise Monitoring of Cell Culture Media

Peng Zheng, Lintong Wu, Michael Ka Ho Lee…·Ishan Barman

This paper introduces a deep learning-powered colloidal digital SERS platform for precise monitoring of cell culture media, achieving high accuracy and reproducibility in detecting analytes.

15 citations

𝕏 PostBluesky