Paper
2 November 2001 PSF identification applied to 3D fluorescence microscopy quantification
Alain Dieterlen, Marie-Pierre Gramain, Chengqi Xu, Francois H. Guillemin, Serge Jacquey
Author Affiliations +
Abstract
3-D optical fluorescence microscopy becomes now an efficient tool for volumic investigation of living biological samples. However, acquired raw data suffer from different distortions. In order to carry out biological analysis, restoration of raw data by deconvolution is mandatory. The system identification is useful to obtain the knowledge of the actual system and to quantify the influence of experimental parameters. High order centered moments are used as PSF descriptors. Oil immersion index, numerical aperture and specimen thickness are critical parameters for data quality. Furthermore, PSF identification is helpful to precise the experimental protocol. Application to 3-D anthracycline distribution in breast cancer cells is presented.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alain Dieterlen, Marie-Pierre Gramain, Chengqi Xu, Francois H. Guillemin, and Serge Jacquey "PSF identification applied to 3D fluorescence microscopy quantification", Proc. SPIE 4431, Photon Migration, Optical Coherence Tomography, and Microscopy, (2 November 2001); https://doi.org/10.1117/12.447403
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KEYWORDS
Point spread functions

Luminescence

Deconvolution

3D acquisition

Microscopy

3D image processing

Monochromatic aberrations

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