Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Fixation and Sectioning

Fixation and Sectioning

Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Effective Vacancy Regulation Simultaneously Realizes High-Performance Thermoelectric Cooling and Power Generation in n-Type PbSe Crystals.

Journal of the American Chemical Society·2026

Same author

Microbial-driven nitrogen cycle in coastal wetlands: Biodiversity, threats, and restoration strategies.

Microbiological research·2026

Same author

Allelopathic inhibition of harmful algae by mangrove leaf extracts under contrasting habitats and algal densities.

Marine pollution bulletin·2026

Same author

Establishment of a canine urothelial carcinoma-derived organoid biobank: A platform for comparative and translational research.

Clinical and translational medicine·2026

Same author

SMIntegration: A web tool for comprehensive spatial metabolomics and transcriptomics integrated analysis and visualization.

GigaScience·2026

Same author

Host, substrate, and vertical position variations in microalgal communities on mangrove pneumatophores.

Journal of phycology·2026

Same journal

AutoPELSA: An Automated Sample Preparation System for Proteome-Wide Identification of Target Proteins of Diverse Ligands.

Analytical chemistry·2026

Same journal

Keeping Reviews Meaningful in the Era of AI.

Analytical chemistry·2026

Same journal

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Analytical chemistry·2026

Same journal

Dual-Functional Ratio Photoelectrochemical Biosensing Platform for Photothermal Simultaneous Sterilization and Lipopolysaccharides-Mediated Detection of <i>Escherichia coli</i> O157:H7.

Analytical chemistry·2026

Same journal

Composite Peak Scoring for Improved Charged Aerosol Detector-Based Universal Quantification of Drug Libraries.

Analytical chemistry·2026

Same journal

UV-Triggered Chemiluminescence as a Bulk Surrogate Indicator for Microplastic Contamination in Aquatic Matrices.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 11, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Routine Workflow of Spatial Proteomics on Micro-formalin-Fixed Paraffin-Embedded Tissues.

Hao Chen^1,2,3, Yuefei Zhang^1,2,3, Haichao Zhou^1,2,3

¹College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.

Analytical Chemistry

|November 3, 2023

Summary

This summary is machine-generated.

Researchers developed a routine spatial proteomics workflow for formalin-fixed paraffin-embedded (FFPE) tissues. This method enables high-resolution protein identification from small tissue areas, creating detailed spatial proteomic atlases.

More Related Videos

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Published on: September 2, 2013

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jul 11, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Published on: September 2, 2013

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

Area of Science:

Proteomics
Spatial Biology
Biotechnology

Background:

Formalin-fixed paraffin-embedded (FFPE) tissues are crucial for spatial proteomics.
Current methods face challenges in achieving high resolution and protein identification efficiency.
A routine, accessible workflow is needed for spatial proteomics using micro-FFPE tissues.

Purpose of the Study:

To evaluate and optimize a spatial proteomics workflow for micro-FFPE tissues.
To establish a routine, device-independent protocol for spatial proteomics.
To enable high-resolution protein identification from minimal tissue areas.

Main Methods:

Developed innovative techniques including optimized decross-linking and simplified peptide generation.
Integrated laser capture microdissection (LCM) with mass spectrometry for protein identification.
Focused on optimizing the capture rate and balancing peptide generation with excision area.

Main Results:

Established a routine workflow for spatial proteomics on micro-FFPE tissues.
Achieved protein identification from a minimized area of 0.002 mm² and consistent analysis from 0.05 mm².
Successfully constructed a preliminary spatial proteomic atlas of the mouse brain.

Conclusions:

The developed workflow overcomes key technological challenges in spatial proteomics.
This method allows for detailed spatial proteomic analysis of FFPE tissues with high resolution.
The study provides a foundation for creating comprehensive spatial proteomic atlases.