颜色反卷积：组织学成像中的染色分离

Colour deconvolution: stain unmixing in histological imaging.

作者信息

Landini Gabriel, Martinelli Giovanni, Piccinini Filippo

机构信息

School of Dentistry, Institute of Clinical Sciences, University of Birmingham, Birmingham B5 7EG, UK.

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC 47014, Italy.

出版信息

Bioinformatics. 2021 Jun 16;37(10):1485-1487. doi: 10.1093/bioinformatics/btaa847.

DOI:10.1093/bioinformatics/btaa847

PMID:32997742

Abstract

MOTIVATION

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 are colour deconvolution, which enable 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 localization and image enhancement.

AVAILABILITY AND IMPLEMENTATION

Colour deconvolution is presented here in two open-source forms: a MATLAB program/function and an ImageJ plugin written in Java. Both versions run in Windows, Macintosh and UNIX-based systems under the respective platforms. Source code and further documentation are available at: https://blog.bham.ac.uk/intellimic/g-landini-software/colour-deconvolution-2/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

染色细胞和组织的显微镜图像在大多数生物医学实验和常规组织病理学中起着核心作用。以数字方式存储彩色组织学图像为对颜色分布和强度进行数值处理以提取定量数据提供了可能性。这些数值程序包括颜色反卷积，当已知染料的RGB表示时，它能够将RGB图像分解为代表染料光吸收和透射率的通道。因此，一系列新的应用在形态学和组织化学分割、自动标记定位和图像增强方面成为可能。

可用性和实现方式

这里以两种开源形式呈现颜色反卷积：一个MATLAB程序/函数和一个用Java编写的ImageJ插件。两个版本都可以在各自平台下的Windows、Macintosh和基于UNIX的系统上运行。源代码和更多文档可在以下网址获取：https://blog.bham.ac.uk/intellimic/g-landini-software/colour-deconvolution-2/。