论文标题
注重的部分波光谱(FF-PWS)和从人体组织样品中检测癌症阶段
Finer-Focused Partial Wave Spectroscopy (ff-PWS) and Detection of Cancer Stages From Human Tissue Samples
论文作者
论文摘要
癌症的进展与不同的遗传和表观遗传事件有关,这导致纳米与细胞/组织的微观结构改变有关。然而,由于衍射有限的分辨率约为200nm,在疾病早期阶段的这些结构改变仍然无法被传统显微镜检测。随着癌症在全球范围内是流行病,始终需要早期和准确的检测方法。从这个意义上讲,我们开发了一种更精细的基于介质物理学的部分波光谱(PWS)成像和定量技术,该技术可以探测细胞/组织中的精确散射体积以检测这种结构变化。因此,我们采用高度敏感的PWS技术来量化纳米级折射率波动,使用市售的石蜡嵌入式组织微阵列(TMA)样品,目的是对不同癌症的阶段进行标准化和准确检测。最近,科学TMA样品的使用已在诊断不同的疾病和药物治疗方面的研究兴趣,因为它们在商业上很容易获得。在这项工作中,使用PWS技术分析了胰腺,前列腺,乳腺癌,乳腺癌和结肠癌TMA等致命癌,其中包含不同阶段的多个核心,并量化了无序力量LD的程度。更细的POKES PWS结果表明,随着每个癌症阶段的增加,疾病强度的增加。使用市售的TMA样品对不同癌症阶段进行定量分析可以增强和标准化早期,准确的癌症诊断方式。
The progression of cancer is associated with different genetic and epigenetic events which result in nano to microscale structural alterations in cells/tissue. However, these structural alterations in the early stage of the disease remain undetectable by conventional microscopy due to the diffraction-limited resolution of ~200nm. With cancer being an epidemic worldwide, early and accurate detection methods are always in demand. In this sense, we developed a finer focusing mesoscopic physics-based partial wave spectroscopy (PWS) imaging and quantification technique, which can probe the precise scattering volume in cells/tissue to detect such structural alterations. Therefore, we employ the highly sensitive PWS technique to quantify the nanoscale refractive index fluctuations using commercially available paraffin embedded tissue microarrays (TMA) samples with the goal of the standardized early and accurate detection of stages of different cancers. Recently the use of scientific TMA samples has gained research interest in diagnosing different diseases and drug-effect in treatment since they are commercially easily accessible. In this work, deadly cancer such as pancreatic, prostate, breast, and colon cancer TMAs containing multiple cores of different stages for each cancer are analyzed using the PWS technique and the degree of disorder strength Ld was quantified. The finer focusing PWS results show that an increase in the disorder strength with the increase in the stage of each cancer. This quantitative analysis of different cancer stages using commercially available TMA samples could enhance and standardize early, accurate cancer diagnosis modalities.