Harvard Medical School, Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.
J Biomed Opt. 2012 May;17(5):056013. doi: 10.1117/1.JBO.17.5.056013.
Hematoxylin and eosin (H&E) stain is currently the most popular for routine histopathology staining. Special and/or immuno-histochemical (IHC) staining is often requested to further corroborate the initial diagnosis on H&E stained tissue sections. Digital simulation of staining (or digital staining) can be a very valuable tool to produce the desired stained images from the H&E stained tissue sections instantaneously. We present an approach to digital staining of histopathology multispectral images by combining the effects of spectral enhancement and spectral transformation. Spectral enhancement is accomplished by shifting the N-band original spectrum of the multispectral pixel with the weighted difference between the pixel's original and estimated spectrum; the spectrum is estimated using M < N principal component (PC) vectors. The pixel's enhanced spectrum is transformed to the spectral configuration associated to its reaction to a specific stain by utilizing an N × N transformation matrix, which is derived through application of least mean squares method to the enhanced and target spectral transmittance samples of the different tissue components found in the image. Results of our experiments on the digital conversion of an H&E stained multispectral image to its Masson's trichrome stained equivalent show the viability of the method.
苏木精和伊红（H&E）染色目前是最常用于常规组织病理学染色的方法。通常需要特殊的和/或免疫组织化学（IHC）染色来进一步证实 H&E 染色组织切片上的初始诊断。染色的数字模拟（或数字染色）可以是一个非常有价值的工具，可以即时从 H&E 染色的组织切片中产生所需的染色图像。我们提出了一种通过结合光谱增强和光谱变换效果来对组织病理学多光谱图像进行数字染色的方法。光谱增强是通过用像素的原始和估计光谱之间的加权差来移动多光谱像素的 N 波段原始光谱来实现的；使用 M<N 主成分（PC）向量来估计光谱。通过利用 N×N 变换矩阵将像素的增强光谱转换为与其对特定染料的反应相关的光谱配置，该矩阵是通过将增强和目标光谱透过率样本应用于图像中发现的不同组织成分的最小均方方法来得出的。我们对 H&E 染色的多光谱图像到其马松三色染色等效物的数字转换的实验结果表明了该方法的可行性。
