A GPU accelerated virtual scanning confocal microscope

Author

Kingsley, James ; Zhilu Chen ; Bibeau, Jeffrey ; Vidali, Luis ; Xinming Huang ; Tuzel, Erkan

Author_Institution

Dept. of Phys., Worcester Polytech. Inst., Worcester, MA, USA

fYear

2014

fDate

9-11 Sept. 2014

Firstpage

1

Lastpage

6

Abstract

Fluorescence Recovery After Photobleaching (FRAP) is a commonly used technique for quantifying the movement of small biological systems. To aid in the evaluation of experimentally produced data, we used the parallel processing power offered by Graphics Processing Units (GPUs) to accelerate a computational simulation of the process. We find that the parallel process is significantly faster when implemented on the GPU, and that further speed increases can be accomplished via various optimizations, bringing the speed increase up to a factor of one hundred in some cases.

Keywords

biology computing; fluorescence; graphics processing units; optical microscopy; optical saturable absorption; parallel processing; FRAP; GPU accelerated virtual scanning confocal microscope; computational simulation acceleration; fluorescence recovery after photobleaching; graphics processing units; parallel processing power; small biological system movement quantification; Computational modeling; Graphics processing units; Kernel; Laser beams; Microscopy; Photobleaching; CUDA; FRAP; GPU; parallel computing;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Extreme Computing Conference (HPEC), 2014 IEEE

Conference_Location

Waltham, MA

Print_ISBN

978-1-4799-6232-7

Type

conf

DOI

10.1109/HPEC.2014.7040992

Filename

7040992