Deconvolution for multimode fiber imaging: modeling of spatially variant PSF.
Biomed Opt Express
; 11(8): 4759-4771, 2020 Aug 01.
Article
en En
| MEDLINE
| ID: mdl-32923076
ABSTRACT
Focusing light through a step-index multimode optical fiber (MMF) using wavefront control enables minimally-invasive endoscopy of biological tissue. The point spread function (PSF) of such an imaging system is spatially variant, and this variation limits compensation for blurring using most deconvolution algorithms as they require a uniform PSF. However, modeling the spatially variant PSF into a series of spatially invariant PSFs re-opens the possibility of deconvolution. To achieve this we developed svmPSF an open-source Java-based framework compatible with ImageJ. The approach takes a series of point response measurements across the field-of-view (FOV) and applies principal component analysis to the measurements' co-variance matrix to generate a PSF model. By combining the svmPSF output with a modified Richardson-Lucy deconvolution algorithm, we were able to deblur and regularize fluorescence images of beads and live neurons acquired with a MMF, and thus effectively increasing the FOV.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Biomed Opt Express
Año:
2020
Tipo del documento:
Article
País de afiliación:
Reino Unido