Image quantitation is as truthful as the reproducibility of the methods involved in experimentation, image acquisition, and analysis. Automation in image analysis is highly recommended as it grants the reproducibility of the resulting data, minimizes the bias and mistakes produced by manual intervention, and optimizes the overall time invested. This chapter focuses on the main concepts of ImageJ macro programming with special emphasis on the image analysis pipeline automation.
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http://dx.doi.org/10.1007/978-1-4939-9686-5_4 | DOI Listing |
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