000175358 001__ 175358
000175358 005__ 20190416055808.0
000175358 0247_ $$2doi$$a10.1007/s12668-012-0041-x
000175358 037__ $$aARTICLE
000175358 245__ $$aSimulated biological cells for receptor counting in fluorescence imaging
000175358 269__ $$a2012
000175358 260__ $$c2012
000175358 336__ $$aJournal Articles
000175358 520__ $$aDigital image processing and epi-fluorescence microscopy provide one of the main and basic tools for living biological cells analysis and studying. Developing, testing and comparing those image processing methods properly require the use of a controlled environment. A verified and trustworthy database of images and meta-information is needed to control the validity of the processing results. Manually generating that golden database is a long process involving specialists being able to apprehend and extract useful data out of fluorescent images. More and more, we need to automate this process. Having enough cases in the database to challenge the processing methods and gain trust in them cannot be realistically be achieved manually. This paper presents a framework implementing a novel approach to generate synthetic fluorescent images of fluorescently-stained cell populations by simulating the imaging process of fluorescent molecules. Ultimately, the proposed simulator allows us to generate images and golden data to populate the database, thus providing tools for the development, evaluation and testing of processing algorithms meant to be used in automated systems.
000175358 6531_ $$aBiological image processing
000175358 6531_ $$aFluorescence imaging
000175358 6531_ $$aCell simulation
000175358 6531_ $$aSynthetic image
000175358 6531_ $$aSimulator
000175358 6531_ $$aDeconvolution
000175358 700__ $$0245236$$g180014$$aGhaye, Julien Michel
000175358 700__ $$0240269$$g167918$$aDe Micheli, Giovanni
000175358 700__ $$aCarrara, Sandro$$g182237$$0242413
000175358 773__ $$j2$$tBioNanoScience$$k2$$q94-103
000175358 8564_ $$uhttps://infoscience.epfl.ch/record/175358/files/art3A10.10072Fs12668-012-0041-x.pdf$$zn/a$$s412374$$yn/a
000175358 909C0 $$xU11140$$0252283$$pLSI1
000175358 909CO $$particle$$ooai:infoscience.tind.io:175358$$qGLOBAL_SET$$pSTI$$pIC
000175358 917Z8 $$x180014
000175358 917Z8 $$x180014
000175358 917Z8 $$x112915
000175358 917Z8 $$x180014
000175358 917Z8 $$x180014
000175358 917Z8 $$x180014
000175358 917Z8 $$x112915
000175358 937__ $$aEPFL-ARTICLE-175358
000175358 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000175358 980__ $$aARTICLE