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首页> 外文会议>Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI >Spectral imaging of histological and cytological specimens
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Spectral imaging of histological and cytological specimens

机译：组织学和细胞学标本的光谱成像

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Abstract: Evaluation of cell morphology by bright field microscopy is the pillar of histopathological diagnosis. The need for quantitative and objective parameters for diagnosis has given rise to the development of morphometric methods. The development of spectral imaging for biological and medical applications introduced both fields to large amounts of information extracted from a single image. Spectroscopic analysis is based on the ability of a stained histological specimen to absorb, reflect, or emit photons in ways characteristic to its interactions with specific dyes. Spectral information obtained from a histological specimen is stored in a cube whose appellate signifies the two spatial dimensions of a flat sample (x and y) and the third dimension, the spectrum, representing the light intensity for every wavelength. The spectral information stored in the cube can be further processed by morphometric analysis and quantitative procedures. Such a procedure is spectral-similarity mapping (SSM), which enables the demarcation of areas occupied by the same type of material. SSM constructs new images of the specimen, revealing areas with similar stain-macromolecule characteristics and enhancing subcellular features. Spectral imaging combined with SSM reveals nuclear organization through the differentiation stages as well as in apoptotic and necrotic conditions and identifies specifically the nucleoli domains. !22
机译：摘要：利用明视野显微镜评估细胞形态是组织病理学诊断的基础。对用于诊断的定量和客观参数的需求引起了形态计量方法的发展。用于生物和医学应用的光谱成像的发展将两个领域都引入了从单个图像中提取的大量信息。光谱分析基于染色的组织学样本吸收，反射或发射光子的能力，该能力以其与特定染料的相互作用为特征。从组织学标本中获得的光谱信息存储在一个立方体中，该立方体的称谓表示平坦样品的两个空间尺寸（x和y），第三个尺寸即光谱，代表每个波长的光强度。存储在立方体中的光谱信息可以通过形态分析和定量程序进行进一步处理。这样的过程是光谱相似度映射（SSM），它可以对同一类型的材料所占据的区域进行划分。 SSM构建标本的新图像，揭示具有类似染色大分子特征并增强亚细胞特征的区域。光谱成像与SSM相结合揭示了分化阶段以及凋亡和坏死条件下的核组织，并专门鉴定了核仁结构域。 ！22

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