I am exploring various single-molecule (SM) imaging, spectroscopy, and dynamics technique for more than seven years. These fluorescence methods are often used to probe the local structure of biopolymers and self-assembled systems. Although many of my works do not involve SM detection, the insights gained from SM imaging/spectroscopy help to interpret the obtained results. Fluorescence microscopy methodologies are helpful to understand fundamental complex phenomena occurring in many biological and soft materials. I have learned MATLAB to analyze single-molecule data. The programs have been utilized in my developed methodology, which helps to understand the underlying processes involved in heterogeneous systems. Besides, the program can be utilized to analyze different sets of data; I helped a few researchers at IIT Bombay, which is mentioned in the collaboration section.

This section will discuss how one can perform basic digital image processing using MATLAB and ImageJ on single-particle data.

The first discussion is about an algorithm for single-particle tracking to probe the diffusion of individual tracers in heterogeneous media, followed by a discussion of tracking multiple tracers from a movie that contains many spatially segregated single-particle images. Such an idea will essentially help in developing algorithms for a super-resolution image reconstruction. Two more intensity-based methods will be discussed- i) spatially resolved polarization microscopy and ii) correlated fluorescence intermittency. This is followed by one energy domain analysis- single-particle spectroscopy. This section will go hand-over-hand with the topics discussed in the research menu.