Title :
3D Fluorescent Spots Detection in Line-Scanning Confocal Microscopy
Author :
Dusch, E. ; Vincent, N. ; Genovesio, A.
Author_Institution :
Univ. Rene Descartes Paris 5, Paris
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper describes a method to detect fluorescent PSF-like spots in 3D line-scanning confocal microscopy. We suppose that fluorescent spots are small enough to be characterized by the Point Spread function (PSF) of the microscope. To localize spots, we use a derivative expression of the image previously convolved by a Gaussian approximating the PSF. The algorithm validation is made on 3D synthetic images with fluorescent background structures and on a 3D fluorescent biological image.
Keywords :
Gaussian processes; approximation theory; biomedical optical imaging; medical image processing; object detection; optical microscopy; 3D fluorescent biological image; 3D fluorescent spot detection; 3D line-scanning confocal microscopy; Gaussian approximation; point spread function; Background noise; Biological system modeling; Biomedical optical imaging; Filtering; Fluorescence; Gaussian approximation; Lighting; Object detection; Optical microscopy; Photobleaching; 3D Point-Spread-Function; Biomedical microscopy; Hessian operator; Image object detection; Line-Scanning Confocal Microscopy;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379566
