title: Robust incremental compensation of the light attenuation with depth in 3D fluorescence microscopy.
abstract: Summary Fluorescent signal intensities from confocal laser scanning microscopes (CLSM) suffer from several distortions inherent to the method. Namely, layers which lie deeper within the specimen are relatively dark due to absorption and scattering of both excitation and fluorescent light, photobleaching and/or other factors. Because of these effects, a quantitative analysis of images is not always possible without correction. Under certain assumptions, the decay of intensities can be estimated and used for a partial depth intensity correction. In this paper we propose an original robust incremental method for compensating the attenuation of intensity signals. Most previous correction methods are more or less empirical and based on fitting a decreasing parametric function to the section mean intensity curve computed by summing all pixel values in each section. The fitted curve is then used for the calculation of correction factors for each section and a new compensated sections series is computed. However, these methods do not perfectly correct the images. Hence, the algorithm we propose for the automatic correction of intensities relies on robust estimation, which automatically ignores pixels where measurements deviate from the decay model. It is based on techniques adopted from the computer vision literature for image motion estimation. The resulting algorithm is used to correct volumes acquired in CLSM. An implementation of such a restoration filter is discussed and examples of successful restorations are given.
authors.affiliation: INRA-Unité de Biométrie et Intelligence Artificielle, Domaine de Vilvert, 78352 Jouy-en-Josas, France. ckervran@irisa.fr
authors.forename: C
authors.initials: C
authors.lastname: Kervrann
authors.forename: D
authors.initials: D
authors.lastname: Legland
authors.forename: L
authors.initials: L
authors.lastname: Pardini
mesh_terms: D000465:Algorithms; D000818:Animals; D003106:Colon / Q000166:cytology / Q000648:ultrastructure; D004247:DNA / Q000032:analysis; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008027:Light; D018551:Solanum lycopersicum / Q000648:ultrastructure; D018613:Microscopy, Confocal / Q000379:methods; D008856:Microscopy, Fluorescence / Q000379:methods*; D051381:Rats
chemical_list: D004247:DNA