IEEE Trans Image Process - Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fields.

Tópicos

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Resumo

Image analysis applied to fluorescence live cell microscopy has become a key tool in molecular biology since it enables to characterize biological processes in space and time at the subcellular level. In fluorescence microscopy imaging, the moving tagged structures of interest, such as vesicles, appear as bright spots over a static or nonstatic background. In this paper, we consider the problem of vesicle segmentation and time-varying background estimation at the cellular scale. The main idea is to formulate the joint segmentation-estimation problem in the general conditional random field framework. Furthermore, segmentation of vesicles and background estimation are alternatively performed by energy minimization using a min cut-max flow algorithm. The proposed approach relies on a detection measure computed from intensity contrasts between neighboring blocks in fluorescence microscopy images. This approach permits analysis of either 2D + time or 3D + time data. We demonstrate the performance of the so-called C-CRAFT through an experimental comparison with the state-of-the-art methods in fluorescence video-microscopy. We also use this method to characterize the spatial and temporal distribution of Rab6 transport carriers at the cell periphery for two different specific adhesion geometries.

Resumo Limpo

imag analysi appli fluoresc live cell microscopi becom key tool molecular biolog sinc enabl character biolog process space time subcellular level fluoresc microscopi imag move tag structur interest vesicl appear bright spot static nonstat background paper consid problem vesicl segment timevari background estim cellular scale main idea formul joint segmentationestim problem general condit random field framework furthermor segment vesicl background estim altern perform energi minim use min cutmax flow algorithm propos approach reli detect measur comput intens contrast neighbor block fluoresc microscopi imag approach permit analysi either d time d time data demonstr perform socal ccraft experiment comparison stateoftheart method fluoresc videomicroscopi also use method character spatial tempor distribut rab transport carrier cell peripheri two differ specif adhes geometri

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