A Modified Watershed Algorithm for Automated Segmentation of Autofluorescence Microscopy Images

Nianchao Wang; Linghao Hu; Johanna Webb; Alex J. Walsh

doi:10.1364/BODA.2021.JTu4A.22

Biophotonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper JTu4A.22
•https://doi.org/10.1364/BODA.2021.JTu4A.22

A Modified Watershed Algorithm for Automated Segmentation of Autofluorescence Microscopy Images

Nianchao Wang, Linghao Hu, Johanna Webb, and Alex J. Walsh

Optics and the Brain 2021

Washington, DC United States
12–16 April 2021
ISBN: 978-1-943580-85-9

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Joint Poster Session I (JTu4A)

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N. Wang, L. Hu, J. Webb, and A. J. Walsh, "A Modified Watershed Algorithm for Automated Segmentation of Autofluorescence Microscopy Images," in Biophotonics Congress 2021, C. Boudoux, K. Maitland, C. Hendon, M. Wojtkowski, K. Quinn, M. Schanne-Klein, N. Durr, D. Elson, F. Cichos, L. Oddershede, V. Emiliani, O. Maragò, S. Nic Chormaic, N. Pégard, S. Gibbs, S. Vinogradov, M. Niedre, K. Samkoe, A. Devor, D. Peterka, P. Blinder, and E. Buckley, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JTu4A.22.

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Abstract

Segmentation of single cells within microscopy images is important for heterogeneity analysis. However, cell clumps are challenging for traditional methods. Here, we present a new watershed algorithm that separates cell clumps with high accuracy.

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