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Abstract
This project aims to develop and implement a computational algorithm for dead time correction in fluorescence lifetime imaging microscopy (FLIM). In photon counting applications, dead time is the time after one photon is counted that another photon cannot be counted due to the limited bandwidth of the electronics that perform the photon counting. Existing dead time correction methods from Light Detection and Ranging (LiDAR) will be adapted to address the challenges in photon counting applications within FLIM. Specifically, an algorithm that compensates for the loss of photon data during the system's dead time will be developed, leveraging statistical models of photon arrival. The project involves extensive computational work, including algorithm development, simulation, and evaluation using FLIM datasets. The ultimate goal is to enhance the accuracy of FLIM measurements.
Document Type
Article
Class Name
Electrical and Systems Engineering Undergraduate Research
Language
English (en)
Date of Submission
1-14-2025
Recommended Citation
Yin, Yidan and Sorrells, Janet E., "A Computational Algorithm for Dead Time Correction in Fluorescence Lifetime Imaging Microscopy (FLIM)" (2025). Electrical and Systems Engineering Undergraduate and Graduate Research. 38.
https://openscholarship.wustl.edu/eseundergraduate_research/38