Cell Microscopy Imaging: a review on digital image processing applications
Fecha
2013
Autores
Lorenzo Ginori, Juan Valentín
Orozco Morales, Rubén
Título de la revista
ISSN de la revista
Título del volumen
Editor
Editorial Feijóo
Resumen
The great advances in digital technology as well as in the light microscopy field in
recent years, determined that digital cellular imaging had acquired a growing
importance in cell biology. New and more sophisticated acquisition methods, like those
employed in high content screening, usually produce a huge amount of data which
demands the power of computers to analyze them. This approach not only allows
increasing speed but also can supersede some limitations inherent to human observers.
Computer image analysis in cell microscopy can address diverse tasks like (among
others) cell classification and counting, studies on sub-cellular structures and studies on
living cells. It also targets fields like pathology, vegetable bio-technology, toxicology,
drug development and others.
This work reviews a selection of the most updated literature related to digital image
processing in cell imaging. Topics covered begin with image restoration with functions
like correcting uneven illumination, noise filtering and reduction of blurring. Then image
segmentation especially oriented to cell images is addressed, including the separation
of cell aggregates and how to evaluate the segmentation effectiveness and compare the
algorithms’ performance for specific tasks. Finally, some pattern recognition and
classification issues in cell image processing are considered. It is the author’s hope that
this review article will help the researchers in this field to have a rapid orientation, which
can make easier for them to develop or select an appropriate algorithm, suited to the
needs of the cell image processing problem to be solved.
Descripción
Palabras clave
Digital image processing, Cellular imaging
Citación
Orozco-Morales, R. and Lorenzo-Ginori, J. V. (2013). Cell Microscopy Imaging: A Review on Digital Image Processing Applications. Monograph. Editorial Feijóo ISBN 978-959-250-895-8.