Are you getting the maximum out of your sample images?

In this webinar, Joseph Daniele Ph.D. will demonstrate the power of deep learning to investigate and quantify variability within a cell.

Determining mitotic activity is a common component of many tumor grading systems but relies on tedious identification and enumeration of mitotic figures within selected fields of view. Using Visiopharm’s deep learning module, Joe and his group have trained a classifier to automatically identify and count a range of mitotic figure morphologies in an entire tissue sample.

Joseph R. Daniele, PhD, Institute Research Scientist

Dr. Daniele received his Ph.D. in Biochemistry from Harvard, focusing on protein trafficking and axonal transport of the oncogenic mediator Hedgehog. He then proceeded to Andrew Dillin’s lab at UC-Berkeley where his research focused on high-content analysis and characterization of the unfolded protein response.