Abstract
In the last decades, the variety of programs, algorithms, and strategies that researchers have at their disposal to process and analyze image files has grown extensively. However, these are only pointless tools if not applied with the careful planning required to achieve a succesful image analysis. In order to do so, the analyst must establish a meaningful and effective sequence of orderly operations that is able to (1) overcome all the problems derived from the image manipulation and (2) successfully resolve the question that was originally posed. In this chapter, the authors suggest a set of strategies and present a reflection on the main milestones that compose the image processing workflow, to help guide the way to obtaining unbiased quantitative data.
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Acknowledgments
The authors thank Katherina-Theresa Mantikas for her English touch in our glossary definitions. We would also like to thank Dr. Enrique Lanuza for granting us free access to his histological collection.
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Pertusa, J.F., Morante-Redolat, J.M. (2019). Main Steps in Image Processing and Quantification: The Analysis Workflow. In: Rebollo, E., Bosch, M. (eds) Computer Optimized Microscopy. Methods in Molecular Biology, vol 2040. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9686-5_1
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DOI: https://doi.org/10.1007/978-1-4939-9686-5_1
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