Super Resolution Imaging using Fluorescence Spectroscopy

Python pipeline for single-molecule localization microscopy with pTIRF microscope SOP.

Guided by: Dr. Debashis Panda | Associate Professor, Department of Chemistry, RGIPT

Utilized Python to develop a comprehensive software pipeline for high-precision single-molecule localization microscopy (SMLM) data, incorporating 2D Gaussian fitting, background subtraction, and multi-stage drift correction to produce super-resolved datasets. Authored a comprehensive standard operating procedure for a prism-type Total Internal Reflection Fluorescence (pTIRF) microscope.

Key Highlights

• —Python pipeline for SMLM data with 2D Gaussian fitting
• —Multi-stage drift correction for super-resolved datasets
• —Authored SOP for prism-type TIRF microscope
• —Data analysis using Origin and Olympus IX73 Microscope

Technologies

Project Images