Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging

Jerzy S. Zielinski; Agnieszka K. Zielinska; Nidhal Bouaynaya; Justin G. Vaughan; Mark S. Smeltzer

doi:10.1109/BSEC.2011.5872327

Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging

Jerzy S. Zielinski, Agnieszka K. Zielinska, Nidhal Bouaynaya, Justin G. Vaughan, Mark S. Smeltzer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Staphylococcus aureus is an opportunistic human pathogen and a primary cause of nosocomial infections. Its biofilm forming capability is an adaptation strategy utilized by many species of bacteria to overcome stressful environmental conditions and provides both resistance to antimicrobial treatments and protection from the host immune system. This paper addresses a growing demand for an objective, fully automated method of biofilm structure description with standardized parameters that are independent of user input. In this study, we used watershed segmentation to analyze and compare confocal laser scanning microscopy (CLSM) images of two S. aureus strains with different biofilm-forming capabilities. Results are compared with manual calculations as well as the commonly used COMSTAT software.

Original language	English (US)
Title of host publication	Proceedings of the 2011 Biomedical Sciences and Engineering Conference
Subtitle of host publication	Image Informatics and Analytics in Biomedicine, BSEC 2011
DOIs	https://doi.org/10.1109/BSEC.2011.5872327
State	Published - Jul 7 2011
Externally published	Yes
Event	2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011 - Knoxville, TN, United States Duration: Mar 15 2011 → Mar 17 2011

Other

Other	2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011
Country	United States
City	Knoxville, TN
Period	3/15/11 → 3/17/11

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Biomedical Engineering

Access to Document

10.1109/BSEC.2011.5872327

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Zielinski, J. S., Zielinska, A. K., Bouaynaya, N., Vaughan, J. G., & Smeltzer, M. S. (2011). Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging. In Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011 [5872327] https://doi.org/10.1109/BSEC.2011.5872327

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title = "Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging",

abstract = "Staphylococcus aureus is an opportunistic human pathogen and a primary cause of nosocomial infections. Its biofilm forming capability is an adaptation strategy utilized by many species of bacteria to overcome stressful environmental conditions and provides both resistance to antimicrobial treatments and protection from the host immune system. This paper addresses a growing demand for an objective, fully automated method of biofilm structure description with standardized parameters that are independent of user input. In this study, we used watershed segmentation to analyze and compare confocal laser scanning microscopy (CLSM) images of two S. aureus strains with different biofilm-forming capabilities. Results are compared with manual calculations as well as the commonly used COMSTAT software.",

author = "Zielinski, {Jerzy S.} and Zielinska, {Agnieszka K.} and Nidhal Bouaynaya and Vaughan, {Justin G.} and Smeltzer, {Mark S.}",

year = "2011",

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doi = "10.1109/BSEC.2011.5872327",

language = "English (US)",

isbn = "9781612844107",

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Zielinski, JS, Zielinska, AK, Bouaynaya, N, Vaughan, JG & Smeltzer, MS 2011, Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging. in Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011., 5872327, 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011, Knoxville, TN, United States, 3/15/11. https://doi.org/10.1109/BSEC.2011.5872327

Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging. / Zielinski, Jerzy S.; Zielinska, Agnieszka K.; Bouaynaya, Nidhal; Vaughan, Justin G.; Smeltzer, Mark S.

Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011. 2011. 5872327.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Smeltzer, Mark S.

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AB - Staphylococcus aureus is an opportunistic human pathogen and a primary cause of nosocomial infections. Its biofilm forming capability is an adaptation strategy utilized by many species of bacteria to overcome stressful environmental conditions and provides both resistance to antimicrobial treatments and protection from the host immune system. This paper addresses a growing demand for an objective, fully automated method of biofilm structure description with standardized parameters that are independent of user input. In this study, we used watershed segmentation to analyze and compare confocal laser scanning microscopy (CLSM) images of two S. aureus strains with different biofilm-forming capabilities. Results are compared with manual calculations as well as the commonly used COMSTAT software.

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Zielinski JS, Zielinska AK, Bouaynaya N, Vaughan JG, Smeltzer MS. Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging. In Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011. 2011. 5872327 https://doi.org/10.1109/BSEC.2011.5872327