利用光子吸收遥感显微术实现无标记组织学的自动化全玻片成像
Automated Whole Slide Imaging for Label-Free Histology using Photon Absorption Remote Sensing Microscopy
AI总结：
本文提出首台透射模式光子吸收遥感显微镜的自动化无标记全玻片组织学平台，可在40倍成像后保留样本可染色性，并用pix2pix实现全玻片H&E虚拟染色模拟。
摘要：
组织学领域严重依赖陈旧的组织处理和染色技术，这些技术限制了癌症及其他疾病病理诊断的效率。当前的染色和先进标记方法通常具有破坏性且彼此不兼容，每种染色都需要新的组织切片。这延长了诊断过程，并消耗了宝贵的活检样本。在本研究中，我们提出一种替代的无标记组织学平台，该平台采用首台透射模式光子吸收遥感显微镜。该系统针对未染色组织样本的自动化全玻片扫描进行了优化，可提供最高40倍放大倍率的玻片图像，并与现有数字病理学工具完全兼容。扫描可捕获高质量、高分辨率图像，呈现亚细胞诊断细节。成像后，样本仍适用于组织化学、免疫组织化学及其他染色技术。在恶性人类乳腺和皮肤组织样本的全玻片图像中展示了散射和吸收（辐射与非辐射）对比度。研究突出了临床相关特征，并与一一对应的金标准H&E染色图像证明了紧密对应和相似对比度。我们此前报道的pix2pix虚拟染色模型被应用于整张全玻片图像，展示了该方法在全玻片无标记H&E模拟方面的潜力。这项工作是将无标记光学方法整合到标准组织病理学工作流程中的关键进展，既提高了诊断效率，又在保存宝贵组织样本的同时拓宽了可应用染色的数量。
英文摘要：
The field of histology relies heavily on antiquated tissue processing and staining techniques that limit the efficiency of pathologic diagnoses of cancer and other diseases. Current staining and advanced labeling methods are often destructive and mutually incompatible, requiring new tissue sections for each stain. This prolongs the diagnostic process and depletes valuable biopsy samples. In this study, we present an alternative label-free histology platform using the first transmission-mode Photon Absorption Remote Sensing microscope. Optimized for automated whole slide scanning of unstained tissue samples, the system provides slide images at magnifications up to 40x that are fully compatible with existing digital pathology tools. The scans capture high quality and high-resolution images with subcellular diagnostic detail. After imaging, samples remain suitable for histochemical, immunohistochemical, and other staining techniques. Scattering and absorption (radiative and non-radiative) contrasts are shown in whole slide images of malignant human breast and skin tissues samples. Clinically relevant features are highlighted, and close correspondence and analogous contrast is demonstrated with one-to-one gold standard H&E stained images. Our previously reported pix2pix virtual staining model is applied to an entire whole slide image, showcasing the potential of this approach in whole slide label-free H&E emulation. This work is a critical advance for integrating label-free optical methods into standard histopathology workflows, both enhancing diagnostic efficiency, and broadening the number of stains that can be applied while preserving valuable tissue samples.
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