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Structure and Function of Platelets

Structure and Function of Platelets

The cell fragments known as platelets are disc-shaped, with an average diameter of about 3 μm and a thickness of roughly 1 μm. They play a crucial role in the body's vascular clotting system, which also involves plasma proteins, blood cells, and blood vessel tissues.
Platelets are continually replenished, circulating in the bloodstream for 9-12 days before being removed by phagocytes, primarily in the spleen. A microliter of circulating blood contains between 150,000 and 450,000...

Formation of the Platelet Plug

Formation of the Platelet Plug

The platelet phase, the second stage of hemostasis, commences around 15-20 seconds after an injury. It follows and overlaps with the vascular phase, during which blood vessels constrict to minimize blood loss.
As the injured blood vessel contracts, endothelial cells undergo contraction, revealing collagen fibers in the basement membrane and underlying connective tissue. Furthermore, the plasma membrane of endothelial cells becomes adhesive, preparing the site for platelet adhesion. Platelets...

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Related Experiment Video

Updated: Nov 19, 2025

Real-time Imaging of Heterotypic Platelet-neutrophil Interactions on the Activated Endothelium During Vascular Inflammation and Thrombus Formation in Live Mice

Real-time Imaging of Heterotypic Platelet-neutrophil Interactions on the Activated Endothelium During Vascular Inflammation and Thrombus Formation in Live Mice

Published on: April 2, 2013

Intelligent Platelet Morphometry.

Yuqi Zhou¹, Akihiro Isozaki², Atsushi Yasumoto³

¹Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.

Trends in Biotechnology

|January 29, 2021

Summary

This summary is machine-generated.

Advancements in image-based platelet analysis, using deep learning, offer new insights into platelet structure and function. This

Keywords:

antiplatelet therapy deep learning imaging flow cytometry platelet thrombosis

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Last Updated: Nov 19, 2025

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Published on: June 5, 2019

Area of Science:

Biomedical Engineering
Hematology
Computational Biology

Background:

Platelet morphometry is crucial for understanding platelet biology and clinical applications.
Traditional methods have limitations in analyzing complex platelet structures and functions.

Purpose of the Study:

To introduce emerging opportunities in 'intelligent' platelet morphometry.
To highlight the potential of advanced imaging and deep learning in platelet analysis.

Main Methods:

High-throughput optical imaging techniques.
Deep learning algorithms for image analysis.
Exploration of novel computational approaches.

Main Results:

Deep learning significantly enhances capabilities beyond traditional platelet morphometry.
New insights into unexplored aspects of platelet analysis are emerging.
Image-based analysis provides a powerful tool for biological research.

Conclusions:

Intelligent platelet morphometry is poised to revolutionize diagnostics and therapeutics.
Emerging technologies promise new pharmacometrics and treatment strategies.
This field opens avenues for advanced clinical decision-making.