Accelerating blind deconvolution algorithm for light microscopy

Author

Bhattacharyya, Santosh ; Szarowski, D. ; McCauley, P. ; Turner, J. ; Holmes, T.

Author_Institution

Biomed. Eng. Dept., JEC 7049, Troy, NY, USA

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

423

Abstract

A preliminary study to accelerate the ML-EM blind deconvolution algorithm for 3D microscopic image reconstruction has been performed. The non-accelerated blind algorithm usually generates a sharp reconstructed image at around 300 iterations. We obtained a comparable image reconstruction at around 50 iterations using the accelerated version of the blind algorithm

Keywords

biological techniques; biology computing; biomedical imaging; deconvolution; image reconstruction; iterative methods; maximum likelihood estimation; medical image processing; optical microscopy; 3D microscopic image reconstruction; 50 iterations; ML-EM blind deconvolution algorithm; accelerated version; accelerating blind deconvolution algorithm; image reconstruction; light microscopy; neonatal rat hippocampus; pyramidal neuron; Acceleration; Artificial intelligence; Deconvolution; Image converters; Image reconstruction; Laboratories; Microscopy; Neurons; Positron emission tomography; Protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575181

Filename

575181