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

2 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/Territory	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

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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

@inproceedings{dae2c831af0648aa8914302350e3e931,

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",

month = jul,

day = "7",

doi = "10.1109/BSEC.2011.5872327",

language = "English (US)",

isbn = "9781612844107",

booktitle = "Proceedings of the 2011 Biomedical Sciences and Engineering Conference",

note = "2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011 ; Conference date: 15-03-2011 Through 17-03-2011",

}

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 et al.

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

TY - GEN

T1 - Automated biofilm region recognition and morphology quantification from confocal laser scanning microscopy imaging

AU - Zielinski, Jerzy S.

AU - Zielinska, Agnieszka K.

AU - Bouaynaya, Nidhal

AU - Vaughan, Justin G.

AU - Smeltzer, Mark S.

PY - 2011/7/7

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N2 - 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.

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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DO - 10.1109/BSEC.2011.5872327

M3 - Conference contribution

AN - SCOPUS:79959915436

SN - 9781612844107

BT - Proceedings of the 2011 Biomedical Sciences and Engineering Conference

T2 - 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011

Y2 - 15 March 2011 through 17 March 2011

ER -

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

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

Abstract

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