Student working on a research project.

Computational Image Analytics In Renal Pathology

We offer an opportunity for enterprising and motivated undergraduates to become acquainted with and acquire useful experience with the cutting-edge technologies of whole-slide image analysis, virtual slides, and digital pathology. Using Matlab and other crucial tools widely applicable for image analysis and data analytics, the student will help identify critical regions and anatomical features of the kidney, particularly the glomerulus. This project has potential to aid in the diagnosis and understanding of a variety of diseases of chronic importance to public health in the US, including diabetic nephropathy and nephritis, helping gain mechanistic insight as well as raw data to tackle a problem of wide practical importance. Students with some background in elementary computer science, scripting experience, or pre-med or pathology are preferred, but not required. Contact pinakisa@buffalo.edu for more info.

Research Project Information

Student Skill-Set Needed: MATLAB programming, image processing
Compensation: Academic Credit, Volunteer
Available: Fall, Spring, Summer
Website: http://www.acsu.buffalo.edu/~pinakisa/cmi.html

Contact

For further information on this opportunity, or to apply, contact:

Faculty Member: Pinaki Sarder
Title: Assistant Professor
Department: Pathology And Anatomical Sciences
Office: 207 Farber Hall, South Campus
Phone: 716-829-2265
Email: pinakisa@buffalo.edu