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Image analysis in non-linear microscopy

Jonas Hagmar ; Christian Brackmann (Institutionen för kemi- och bioteknik, Molekylär mikroskopi) ; Tomas Gustavsson (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Annika Enejder (Institutionen för kemi- och bioteknik, Molekylär mikroskopi)
Journal of Optical Society of America Vol. 25 (2008), p. 2195-2206 .
[Artikel, refereegranskad vetenskaplig]

The ability to automatically extract quantitative data from non-linear microscopy images is here explored, taking their non-linear character into account. Objects of different degree 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 the non-linear 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.

Nyckelord: Non-linear optics, CARS microscopy, Image analysis, Yeast, C. elegans

Denna post skapades 2009-02-05. Senast ändrad 2017-01-27.
CPL Pubid: 89655


Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Molekylär mikroskopi (2008-2014)
Institutionen för signaler och system, Digitala bildsystem och bildanalys (1900-2013)


Annan fysik
Biologiska vetenskaper

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