A modified watershed algorithm for automated segmentation of autofluorescence microscopy images

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

A modified watershed algorithm for automated segmentation of autofluorescence microscopy images

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

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English (US)
Article number	JTu4A.22
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	Bio-Optics: Design and Application, BODA 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 - Virtual, Online, United States Duration: Apr 12 2021 → Apr 16 2021

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{b6aee07cc03a41cd988fac3a9ea8fcab,

title = "A modified watershed algorithm for automated segmentation of autofluorescence microscopy images",

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.",

author = "Nianchao Wang and Linghao Hu and Johanna Webb and Walsh, {Alex J.}",

note = "Publisher Copyright: {\textcopyright} 2021 The Author (s).; Bio-Optics: Design and Application, BODA 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 ; Conference date: 12-04-2021 Through 16-04-2021",

year = "2021",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - A modified watershed algorithm for automated segmentation of autofluorescence microscopy images

AU - Wang, Nianchao

AU - Hu, Linghao

AU - Webb, Johanna

AU - Walsh, Alex J.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85119320046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85119320046&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85119320046

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JTu4A.22

T2 - Bio-Optics: Design and Application, BODA 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021

Y2 - 12 April 2021 through 16 April 2021

ER -

A modified watershed algorithm for automated segmentation of autofluorescence microscopy images

Abstract

ASJC Scopus subject areas

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