Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.

This dataset contains semantically annotated spectral data from multiple species and three different perfusion states (physiological, malperfused and ICG). The HSI cubes were acquired with the Tivita® Tissue camera system from Diaspective Vision. Each data cube has the dimensions (480, 640, 100) = (height, width, channels) with the 100 non-overlapping spectral channels being in the range from 500 nm to 1000 nm at a spectral resolution of around 5 nm. This repository contains the raw data, related metadata as well as the preprocessed files. The full dataset is deposited here: https://spectralverse-heidelberg.org/xeno-spectral/本数据集包含来自多个物种、三种不同灌注状态（生理灌注、灌注异常及吲哚菁绿（ICG））的语义标注光谱数据。高光谱图像（HSI）立方体由Diaspective Vision公司的Tivita®组织相机系统采集得到。每个数据立方体的维度为(480, 640, 100)，分别对应高度、宽度与通道数；其包含100个互不重叠的光谱通道，波长范围为500 nm至1000 nm，光谱分辨率约为5 nm。本仓库包含原始数据、相关元数据以及预处理后的文件。完整数据集已上传至：https://spectralverse-heidelberg.org/xeno-spectral/