Related Experiment Video
Updated: Feb 5, 2026
09:53
Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
Published on: September 13, 2021
7.7K
Electron Tomography and Correlative Approaches in Platelet Studies
Kasia B Engberts1, Cor Seinen2, Willie J C Geerts1
1Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands.
Methods in Molecular Biology (Clifton, N.J.)
|September 2, 2018
Summary
This study explores platelet function in bleeding and thrombosis using advanced microscopy. New imaging techniques reveal ultrastructural details of platelet responses, enhancing our understanding of hemostasis.
Area of Science:
- Hematology
- Cell Biology
- Biophysics
Background:
- Blood platelets are crucial for hemostasis and thrombosis.
- Understanding platelet biogenesis, adhesion, aggregation, and secretion is vital.
- Ultrastructural analysis is key to comprehending platelet dynamics.
Purpose of the Study:
- To discuss advanced cryo preparation techniques for studying platelet responses.
- To illustrate correlative light and electron microscopy (CLEM) workflows.
- To highlight the application of 3D cryo-electron tomography in platelet research.
Main Methods:
- High-pressure freezing and vitrification for cryo preparation.
- Correlative light and electron microscopy (CLEM) workflows.
- 3D cryo-electron tomography for ultrastructural analysis.
Main Results:
- Advanced imaging techniques provide near-native ultrastructural insights.
- Cryo-electron tomography enables detailed visualization of platelet dynamics.
- CLEM facilitates correlation of live-cell imaging with ultrastructural detail.
Conclusions:
- New imaging technologies significantly advance the study of platelet function.
- These methods offer unprecedented opportunities to investigate platelet adhesion and secretion.
- The discussed techniques are crucial for future research in hemostasis and thrombosis.
Related Concept Videos
02:20Correlations
36.2K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.2K
01:27Correlation and Causation
42.8K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.8K
01:07Electron Microscope Tomography and Single-particle Reconstruction
2.9K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.9K
01:09Correlation
15.2K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K
01:27Imaging Studies III: Computed Tomography
380
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
380
01:25Imaging Studies II: Positron Emission Tomography and Scintigraphy
597
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
Fundamental Principles of PET
597