C. Rueden, K. Eliceiri
Aug 1, 2019
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Journal
Microscopy and Microanalysis
Abstract
Quantifying images is now a critical, widespread need in biological research as light microscopy experiments continue to grow in scale, size, dimensionality, scope, modality, and complexity. It is becoming clear that given the complexity, and heterogeneity of the modern image dataset, there cannot be a single software solution. Different imaging processing and visualization approaches need access not only to the data but also to each other. There needs to be compatibility not only in file import and export but interoperability in preserving and communicating what was done to the image. There is a great opportunity in achieving this interoperability, tools that can talk to each other not only enable new biological discovery but also efficiencies in sharing code and in many cases more precise workflows. We present our efforts towards interoperability and extensibility in the ImageJ consortium. We are actively developing key software libraries like ImgLib and ImageJ Ops that are utilized to analyze and visualize biological image data, to the developmental benefit of not only of the applications but the libraries themselves. We also overview the two major development efforts of the ImageJ [1,2] family of image analysis, FIJI [3] and ImageJ2 [4].