Figure 1 | Scientific Reports

Figure 1

From: Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model

Figure 1

Tissue atlas comprising spectral fingerprints of 20 organs and specific tissue types. Stomach (A = 39; n = 849), jejunum (A = 44; n = 1546), colon (A = 39; n = 1330), liver (A = 41; n = 1454), gallbladder (A = 28; n = 526), pancreas (A = 31; n = 530), kidney (A = 42; n = 568), spleen (A = 41; n = 1353), bladder (A = 32; n = 779), omentum (A = 23; n = 570), lung (A = 19; n = 652), heart (A = 19; n = 629), cartilage (A = 15; n = 586), bone (A = 14; n = 537), skin (A = 43; n = 2158), muscle (A = 15; n = 560), peritoneum (A = 28; n = 2042), vena cava (A = 15; n = 353), kidney with Gerota’s fascia (A = 18; n = 393), bile fluid (A = 13; n = 362). A indicates the number of animals; n indicates the number of measurements in total. Graphs depict mean reflectance (ℓ1-normalized on pixel-level) of individual pigs (gray) as well as overall mean (blue) ± 1 standard deviation (SD) (black) with wavelengths from 500 to 1000 nm on the x-axis and reflectance in arbitrary units on the y-axis.

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