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Oct 2026

Deep learning-enabled pixel super-resolution in fluorescence lifetime imaging microscopy (FLIM)

Fluorescence lifetime imaging microscopy (FLIM) is fundamentally constrained by long pixel dwell times and low photon budgets, which limit its deployment in many clinically relevant settings. To mitigate this, we present FLIMPSR, a deep learning-based pixel super-resolution framework for multi-channel FLIM that enhance...

Paloma Casteleiro Costa, Parnian Ghapandarkashani, Xu-Hui Liu et al. · 0 citations
Open access Dec 2025

Pixel super-resolved fluorescence lifetime imaging using deep neural networks

This work introduces FLIMPSR_k, a deep learning-based multi-channel pixel super-resolution (PSR) framework that reconstructs high-resolution FLIM images from data acquired with up to a fivefold increased pixel size, and reliably achieves a super-resolution factor of k = 5.

Paloma Casteleiro Costa, Parnian Ghapandarkashani, Xuhui Liu et al. · 0 citations

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