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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Stephen A. Burns
  • Vol. 25, Iss. 9 — Sep. 1, 2008
  • pp: 2195–2206

Image analysis in nonlinear microscopy

Jonas Hagmar, Christian Brackmann, Tomas Gustavsson, and Annika Enejder  »View Author Affiliations


JOSA A, Vol. 25, Issue 9, pp. 2195-2206 (2008)
http://dx.doi.org/10.1364/JOSAA.25.002195


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Abstract

The ability to automatically extract quantitative data from nonlinear microscopy images is here explored, taking nonlinear and coherent effects into account. Objects of different degrees of complexity were investigated: theoretical images of spherical objects, experimentally collected coherent anti-Stokes Raman scattering images of polystyrene spheres in background-generating agar, well-separated lipid droplets in living yeast cells, and conglomerations of lipid droplets in living C. elegans nematodes. The in linear microscopy useful measure of full width at half-maximum (FWHM) was shown to provide inadequate measures of object size due to the nonlinear density dependence of the signal. Instead, the capability of four state-of-the-art image analysis algorithms was evaluated. Among these, local thresholding was found to be the widest applicable segmentation algorithm.

© 2008 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(180.4315) Microscopy : Nonlinear microscopy

ToC Category:
Microscopy

History
Original Manuscript: March 17, 2008
Revised Manuscript: June 21, 2008
Manuscript Accepted: June 24, 2008
Published: August 6, 2008

Virtual Issues
Vol. 3, Iss. 11 Virtual Journal for Biomedical Optics

Citation
Jonas Hagmar, Christian Brackmann, Tomas Gustavsson, and Annika Enejder, "Image analysis in nonlinear microscopy," J. Opt. Soc. Am. A 25, 2195-2206 (2008)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-25-9-2195

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