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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

Author's School

McKelvey School of Engineering

Author's Department

Electrical and Systems Engineering

Class Name

Electrical and Systems Engineering Undergraduate Research

Language

English (en)

Date of Submission

1-14-2025

Available for download on Thursday, January 14, 2027

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