Past Teaching

Biomedical Engineering Department (University at Buffalo)

[2016-2021] BE 461/561: Introduction to Biomedical Image Analysis

 Dr. Sarder was the director of this course offered every Fall semester and it was designed for BME seniors and first-year graduate students. The course focused on the computational quantification of biologically relevant micro/macroscopic structures in biomedical images. Students learned how (i) raw data is acquired before digitization; (ii) to read, display, and interpret various medical image data types using a computer; (iii) to detect, segment, and quantify heterogeneous structures in biomedical images; (iv) to leverage features extracted from biomedical images for classification; (v) to set up experiments in MATLAB via script writing for biomedical image analysis. Image analysis problems related to fluorescence and brightfield microscopy and fluorescence molecular tomography systems and corresponding biomedically relevant computational image analysis tools were discussed. Simulated and real images of these systems were used for quantitative analysis via MATLAB-based script writing.

[2018-2021] PAS 505: Microscopic Anatomy & Computational Methods

This course was offered every Fall semester and was designed for graduate students in the Pathology department. The course in general discussed the function and structure of microscopic structures of the body. Dr. Sarder’s part of the course introduced the use of computational methods used in the analysis of histological images of microscopic structures.

[2018 – 2021] PAS 520: Microscopic Imaging

This course was offered every year to graduate students in the Pathology department. The course provided graduate students with fundamental training in modern optical microscopy and biomedical imaging. Dr. Sarder’s part of the course focused on discussing computational methods used in the analysis of fluorescence microscopy images, deconvolution microscopy, as well as fluorescence lifetime imaging microscopy instrumentation, imaging, and analysis.


 Computational Cell Biology, Anatomy, and Pathology (University at Buffalo)

[2019 – 2021] BMS 516: Fundamentals of Biomedical Research II

This course was offered to the graduate students of Biomedical Sciences every Fall semester and was required for all students in the PhD Program in Biomedical Sciences (PPBS). The course was a combination of lectures and research paper discussions and taught students about research methods, experimental design, data analysis, and critical thinking. Dr. Sarder’s part of the course focused on discussing a research article from the literature on computational microscopy image analysis, as well as discussing computational image analysis fundamentals.

[2019-2021] BMS 515: Fundamentals of Biomedical Research I

This course was offered to the graduate students of Biomedical Sciences every Fall semester and was required for all students in the PhD Program in Biomedical Sciences (PPBS). The goal of the course was to teach students fundamental concepts important to a broad range of biomedical research topics. Dr. Sarder’s part of the course focused on discussing an overview of microscopy for viewing different samples at different scales, technical concerns/limitations of each, spatial resolution, specific examples of each type of microscopy, the basics of microscopy image analysis, image segmentation, feature extraction, and feature classification.

[2019-2021] PAS 514: Seminar

This course was offered every Fall semester to the graduate students in the Pathology department. The course aimed to improve scientific literacy beyond the boundary of the students’ laboratory’s sub-specialty, with a focus on improving students’ presentation skills. Students practiced recognizing, extracting, and summarizing the key elements from a scientific talk. Each student presented a formal 45-minute presentation on a research topic of their choosing, with slides, followed by a 10-minute question-answer period. Dr. Sarder’s part of the course focused on discussing a research article from the literature on computational microscopy image analysis, as well as discussing computational image analysis fundamentals.