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Motion-enhanced, differential interference contrast video microscopy using a GPU and CUDA

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Matt SteenAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 99, Pages 1 - 2

https://doi.org/10.1145/1900008.1900137

Published: 15 April 2010 Publication History

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Abstract

Optical video microscopy is widely used to observe living cells and their moving parts. The smaller moving parts of the cells, such as vesicles, have low contrast and are often obscured by membranes and cell walls. Large images (1k x 1k) showing many cells are most helpful to the microscopist; limited memory prohibits storing such images for the entire life of a cell. As a result, it is imperative that image enhancement calculations be performed in real time, so that the researcher can observe moving vesicles immediately, rather than by post-processing.

The MEDIC algorithm uses background subtraction to remove or at least minimize the effects of the immobile parts of the cell, including the cell wall. With MEDIC, moving objects are visible to the naked eye. In this paper, we extend the MEDIC algorithm to take advantage of fast computing on GPUs.

Current mainstream CPUs are not fast enough to execute the MEDIC algorithm in real time with fast cameras. Dedicated image processing boards, made by companies like Matrox Imaging, are faster, but they are also expensive. GPUs, which are designed for rendering video game graphics, are made to perform calculations in parallel, and they can be obtained for a few hundred dollars. While not as fast, they are still well suited to executing the MEDIC algorithm in real time. The GPU can provide a significant speedup over CPU computations, making real time imaging possible with fast cameras for a fraction of the price of dedicated image processing boards.

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Published In

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 2010

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ACM SE '10

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ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

Acceptance Rates

ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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