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Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes.

Publication ,  Journal Article
Chitalia, R; Mueller, J; Fu, HL; Whitley, MJ; Kirsch, DG; Brown, JQ; Willett, R; Ramanujam, N
Published in: Biomed Opt Express
September 1, 2016

Fluorescence microscopy can be used to acquire real-time images of tissue morphology and with appropriate algorithms can rapidly quantify features associated with disease. The objective of this study was to assess the ability of various segmentation algorithms to isolate fluorescent positive features (FPFs) in heterogeneous images and identify an approach that can be used across multiple fluorescence microscopes with minimal tuning between systems. Specifically, we show a variety of image segmentation algorithms applied to images of stained tumor and muscle tissue acquired with 3 different fluorescence microscopes. Results indicate that a technique called maximally stable extremal regions followed by thresholding (MSER + Binary) yielded the greatest contrast in FPF density between tumor and muscle images across multiple microscopy systems.

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Published In

Biomed Opt Express

DOI

ISSN

2156-7085

Publication Date

September 1, 2016

Volume

7

Issue

9

Start / End Page

3412 / 3424

Location

United States

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics
 

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Chitalia, R., Mueller, J., Fu, H. L., Whitley, M. J., Kirsch, D. G., Brown, J. Q., … Ramanujam, N. (2016). Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes. Biomed Opt Express, 7(9), 3412–3424. https://doi.org/10.1364/BOE.7.003412
Chitalia, Rhea, Jenna Mueller, Henry L. Fu, Melodi Javid Whitley, David G. Kirsch, J Quincy Brown, Rebecca Willett, and Nimmi Ramanujam. “Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes.Biomed Opt Express 7, no. 9 (September 1, 2016): 3412–24. https://doi.org/10.1364/BOE.7.003412.
Chitalia R, Mueller J, Fu HL, Whitley MJ, Kirsch DG, Brown JQ, et al. Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes. Biomed Opt Express. 2016 Sep 1;7(9):3412–24.
Chitalia, Rhea, et al. “Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes.Biomed Opt Express, vol. 7, no. 9, Sept. 2016, pp. 3412–24. Pubmed, doi:10.1364/BOE.7.003412.
Chitalia R, Mueller J, Fu HL, Whitley MJ, Kirsch DG, Brown JQ, Willett R, Ramanujam N. Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes. Biomed Opt Express. 2016 Sep 1;7(9):3412–3424.
Journal cover image

Published In

Biomed Opt Express

DOI

ISSN

2156-7085

Publication Date

September 1, 2016

Volume

7

Issue

9

Start / End Page

3412 / 3424

Location

United States

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics