Image from the NFDI4BIOIMAGE Calendar August 2025. This image illustrates tissue oxygen saturation in the hand, calculated using various computer-assisted methods and based on hyperspectral and multispectral imaging. The purpose of this image is to compare the perfusion parameters (3 and 4) obtained with multispectral cameras delivering relatively less spectral information but capable of real-time imaging against the perfusion parameters (2) obtained with a hyperspectral medical system delivering large spectral information but not capable of real-time imaging. The picture shows that deep learning methods (4) perform better than classical methods (3) that are not based on artificial intelligence. It lays the groundwork for future real-time quantitative assessment of perfusion during organ transplantation surgeries. Image Metadata (using REMBI template): Study Study description Quantification of tissue reperfusion using real-time spectral imaging and deep learning Study type Study on volunteers Study Component Imaging method (1) RGB imaging (2) Hyperspectral imaging (3) and (4) Multispectral imaging Image component description (1) RGB image of the hand under normal perfusion. (2) Perfusion parameter map computed based on hyperspectral imaging (100 spectral bands between 500 and 1000 nm). High perfusion values are represented in red, low perfusion values in blue. (3) Perfusion parameter map computed based on multispectral imaging (31 spectral bands between 460 and 850 nm) and using the spectral bands that are available but that are less than in (2). Therefore, the result in (3) looks very different from the result in (2). (4) Perfusion parameter map computed based on multispectral imaging and using a deep neural network. The result in (4) looks similar to the result in (2). Biosample Biological entity Hand Organism Homo sapiens Image data Image resolution hyperspectral imaging Spatial Resolution: 480*640 pixels Spectral Resolution: 500 nm-1000 nm, 100 bands, 5 nm Image resolution multispectral imaging Spatial Resolution: 1088*2048 pixels Spectral Resolution: 16 bands in 460-600 nm; 15 bands in 600-850 nm Image mode Reflectance Submitted via NFDI4BIOIMAGE