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Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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Updated: Jun 26, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

SCIMAP:用于多重复合成像数据的综合空间分析的Python工具包.

Ajit J Nirmal, Peter K Sorger

|May 15, 2024

概括

此摘要是机器生成的。

SCIMAP是一个新的Python包,用于分析多重成像数据,使组织和瘤中细胞空间关系的有效探索成为可能. 它整合了对大型数据集的可视化和分析,推进了组织分析研究.

科学领域:

计算生物学计算生物学
生物信息学是一种生物信息学.
病理学病理学病理学

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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

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Published on: December 17, 2015

相关实验视频

Last Updated: Jun 26, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Published on: April 18, 2025

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

背景情况:

多复合成像产生大规模的细胞数据,对于理解组织和瘤组成至关重要.
量化细胞之间的空间关系对于组织分析至关重要,但计算密集.
现有的工具往往缺乏对复杂的多重成像数据的图像可视化和分析的无集成.

结论:

SCIMAP使研究人员能够有效地分析复杂的多重成像数据集.
它促进了对组织和瘤细胞组成和空间组织的理解.
该工具有助于发现空间模式及其统计意义.