Single-sample image-fusion upsampling of fluorescence lifetime images

• URL: http://arxiv.org/abs/2404.13102v1
• Date: Fri, 19 Apr 2024 10:19:18 GMT
• Title: Single-sample image-fusion upsampling of fluorescence lifetime images
• Authors: Valentin Kapitány, Areeba Fatima, Vytautas Zickus, Jamie Whitelaw, Ewan McGhee, Robert Insall, Laura Machesky, Daniele Faccio,
• Abstract summary: Fluorescence lifetime imaging microscopy provides detailed information about molecular interactions and biological processes. A major bottleneck for FLIM is image resolution at high acquisition speeds. Here we present single-sample image-fusion upsampling (SiSIFUS), a data-fusion approach to computational FLIM super-resolution.
• Score: 0.9054230754796732
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Fluorescence lifetime imaging microscopy (FLIM) provides detailed information about molecular interactions and biological processes. A major bottleneck for FLIM is image resolution at high acquisition speeds, due to the engineering and signal-processing limitations of time-resolved imaging technology. Here we present single-sample image-fusion upsampling (SiSIFUS), a data-fusion approach to computational FLIM super-resolution that combines measurements from a low-resolution time-resolved detector (that measures photon arrival time) and a high-resolution camera (that measures intensity only). To solve this otherwise ill-posed inverse retrieval problem, we introduce statistically informed priors that encode local and global dependencies between the two single-sample measurements. This bypasses the risk of out-of-distribution hallucination as in traditional data-driven approaches and delivers enhanced images compared for example to standard bilinear interpolation. The general approach laid out by SiSIFUS can be applied to other image super-resolution problems where two different datasets are available.

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