Cell Microscopy Imaging: a review on digital image processing applications

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dc.contributor.authorLorenzo Ginori, Juan Valentín
dc.contributor.authorOrozco Morales, Rubén
dc.contributor.departmentUniversidad Central "Marta Abreu" de Las Villas, Centro de Investigaciones de la Informáticaen_US
dc.contributor.departmentUniversidad Central "Marta Abreu" de Las Villas, Facultad de Ingeniería Eléctricaen_US
dc.coverage.spatialSanta Claraen_US
dc.date.accessioned2018-02-07T18:29:59Z
dc.date.available2018-02-07T18:29:59Z
dc.date.issued2013
dc.description.abstractThe 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.en_US
dc.identifier.citationOrozco-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.en_US
dc.identifier.isbn978-959-250-895-8en_US
dc.identifier.urihttps://dspace.uclv.edu.cu/handle/123456789/8692
dc.language.isoen_USen_US
dc.publisherEditorial Feijóoen_US
dc.rightsEste documento es reproducido por la biblioteca universitaria de la UCLV bajo el amparo de la legislación cubana vigente sobre derecho de autor. Los usuarios podrán utilizar este material bajo la siguiente licencia: Reconociendo a los autores de la obra mediante las citas y referencias bibliográficas correspondientes, utilizar solo para fines No Comerciales y No realizar reproducciones u obras derivadas.en_US
dc.rights.holderUniversidad Central "Marta Abreu" de Las Villasen_US
dc.subjectDigital image processingen_US
dc.subjectCellular imagingen_US
dc.titleCell Microscopy Imaging: a review on digital image processing applicationsen_US
dc.typeMonographen_US

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