title: MRT letter: A unified accelerated maximum likelihood technique for widefield, confocal, and super-resolution 4Pi microscopy.
abstract: We propose an algorithmic technique for accelerating maximum likelihood (ML) algorithm for image reconstruction in fluorescence microscopy. This is made possible by integrating Biggs-Andrews (BA) method with ML approach. The results on widefield, confocal, and super-resolution 4Pi microscopy reveal substantial improvement in the speed of 3D image reconstruction (the number of iterations has reduced by approximately one-half). Moreover, the quality of reconstruction obtained using accelerated ML closely resembles with nonaccelerated ML method. The proposed technique is a step closer to realize real-time reconstruction in 3D fluorescence microscopy.
authors.affiliation: Nanobioimaging Laboratory, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, Karnataka, India; Department of Physics, Indian Institute of Science, Bangalore, 560012, Karnataka, India.
authors.forename: Rasmi
authors.initials: R
authors.lastname: Chelur K
authors.forename: Rajan
authors.initials: R
authors.lastname: Kanhirodan
authors.forename: Partha Pratim
authors.initials: PP
authors.lastname: Mondal
keywords: fluorescence microscopy; image reconstruction; imaging