Otsu’s method [17] is used for automatic thresholding of binary images in order to separate two object classes in microscopy datasets—specifically fluorescently labelled nuclei from its background [15,16]. The algorithm determines the threshold value that minimizes the intra-class variance, defined as a weighted sum of variances of these two classes:
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.
Tips for asking effective questions
+ Description
Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.