Microscopy images of stained cells and tissues play a central role in most biomedical experiments and routine histopathology. Storing colour histological images digitally opens the possibility to process numerically colour distribution and intensity to extract quantitative data. Among those numerical procedures is colour deconvolution, which enables decomposing an RGB image into channels representing the optical absorbance and transmittance of the dyes when their RGB representation is known. Consequently, a range of new applications become possible for morphological and histochemical segmentation, automated marker localisation and image enhancement.

中文翻译：

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颜色反卷积–组织学成像中的污渍混合

在大多数生物医学实验和常规组织病理学中，染色细胞和组织的显微图像起着关键作用。以数字方式存储颜色组织学图像为数字处理颜色分布和强度以提取定量数据提供了可能性。在这些数字过程中，是颜色反卷积，当知道其RGB表示形式时，它可以将RGB图像分解为表示染料的光吸收率和透射率的通道。因此，形态学和组织化学分割，自动标记定位和图像增强的一系列新应用成为可能。