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相关概念视频

Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Classification of Connective Tissues01:30

Classification of Connective Tissues

The connective tissues have different properties and functions in the human body. They are broadly categorized into proper, supporting, or fluid connective tissues.
Connective Tissue Proper
Connective tissue proper is the most abundant class of connective tissues. As its name implies, it predominantly connects different tissues in the body. Depending on the cell types, ground substance, viscosity, and fiber types in the ECM, connective tissue proper is further categorized into loose and dense.
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and the...
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...

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Updated: May 12, 2026

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
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软组织肉瘤的活体拉曼光谱和基于人工智能的分类

Maede Boroji1, Vahid Danesh1, David Barrera2

  • 1Department of Mechanical Engineering, Stony Brook University, Stony Brook, New York, United States of America.

PloS one
|September 2, 2025
PubMed
概括

微观拉曼光谱显示有望区分软组织瘤 (STS) 和正常组织. 这种技术可以提供一个快速的,非侵入性的工具来引导外科医生在手术期间识别异常组织和边缘.

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科学领域:

  • 癌症学
  • 生物医学工程
  • 光谱学

背景情况:

  • 软组织瘤 (STS) 是一种罕见的异质恶性瘤,需要精确的诊断和治疗.
  • 目前用于STS的手术内利评估方法缺乏效率和准确性.
  • 需要改进的工具来加强软组织瘤的手术指导.

研究的目的:

  • 对微观拉曼光谱进行研究,以区分STS亚型,良性瘤和正常组织.
  • 评估使用拉曼光谱作为手术中的快速诊断工具的可行性.
  • 开发和验证基于拉曼数据的组织类型的计算模型.

主要方法:

  • 在7名患者的286,672个组织样本上进行了活体拉曼光谱.
  • 使用633nm激发波长进行光谱采集.
  • 使用自定义的ResNet架构进行数据预处理和分类.

主要成果:

  • 在分类组织类型方面,ResNet模型的整体加权精度高达97.1%.
  • 记录的临床警报率为1. 46%,表明恶性组织的错误分类很小.
  • 拉曼光谱在区分各种软组织类型方面表现出显著的潜力.

结论:

  • 微观拉曼光谱可以准确地区分软组织瘤,良性瘤和正常组织.
  • 单个拉曼光谱显示出作为手术指导的快速,非侵入性工具的潜力.
  • 这种技术可以提高在肉瘤切除中识别异常组织和外科边缘的精度.