Paper
4 August 2009 Two-dimensional cell tracking by FPGA-optical correlation method
Iraís Solís, M. Torres-Cisneros, J. G. Aviña-Cervantes, O. G. Ibarra-Manzano, O. Debeir, S. Ledesma-Orozco, E. Pérez-Careta, J. J. Sanchez-Mondragón
Author Affiliations +
Proceedings Volume 7386, Photonics North 2009; 73860D (2009) https://doi.org/10.1117/12.839823
Event: Photonics North 2009, 2009, Quebec, Canada
Abstract
Our work uses 1080 images sequence obtained from "in vitro" samples taken every 4 min from a microscope under phase contrast technique. These images are in JPEG format and are 500×700 pixels size with a compression rate of 3:1. We developed an algorithm and characterize it over several image operations against the tracking effectiveness and its robustness respect mitosis and cell shape change. Image equalization, dilation and erosion were the image processing procedures founded to provide best tracking results. Equalization procedure, for example, required a time delay of 5 sec for a size target of 60×90 pixels and 9 sec for size target of 89×100 pixels. This algorithm was implemented into a FPGA which controlled our optical correlator in order to performance all Fourier operations by optical method. Our results showed that the use of the optical correlator can reduce the time consuming in the image process until for 90% which able us to track cells in vascular structure.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Iraís Solís, M. Torres-Cisneros, J. G. Aviña-Cervantes, O. G. Ibarra-Manzano, O. Debeir, S. Ledesma-Orozco, E. Pérez-Careta, and J. J. Sanchez-Mondragón "Two-dimensional cell tracking by FPGA-optical correlation method", Proc. SPIE 7386, Photonics North 2009, 73860D (4 August 2009); https://doi.org/10.1117/12.839823
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KEYWORDS
Image processing

Image segmentation

Detection and tracking algorithms

Algorithm development

Optical correlators

Fourier transforms

Surgery

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