Mission: Reproducible extraction of meaningful information from images
   Collaborate on projects with any HMS research labs
   Train the next generation of bioimage analysts
   Teach bioimage analysis to life scientists
   Build and support bioimage analysis communities

The Image Analysis Collaboratory (IAC) at Harvard Medical School started operating in September 2022.

We specialize in the quantitative analysis of biomedical images—be that image restoration, object detection, segmentation, co-localization analysis, tracking, classification, or related matters.

We apply and develop methods in classical bioimage analysis, deep learning, and spatial statistics—in-house or with the help of our friends and collaborators.

We aim to serve as a local/global clearinghouse for bioimage analysis methods, connecting image-data owners with image-analysis practitioners.

The core members of the Image Analysis Collaboratory will consist of physicists, mathematicians, computer scientists, engineers, and life-scientist with an algorithmic bent. We aim to assemble a group of people with diverse backgrounds, united in their desire to extract maximum information from images (in finite time) and interest in teaching best practices.

We will also run an active postdoctoral training program in bioimage analysis as well as an international visitors program targeting analysts that wish to learn new methods or initiate collaborations with research groups (image data owners) at HMS.

By Collaboratory, we mean a

“center without walls, in which […] researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries.” (Wulf, 1989)