Mitochondria (TEM)
Mitochondria, the powerhouses of eukaryotic cells are well known to all cell biologists from diagrams and electron micrographs in textbooks. They have non-the-less remained notoriously difficult to automatically segment using software in electron micrographs in which numerous organelles have similar staining characteristics and highly variable shapes and sizes.
This difficulty is eliminated with the Image-Pro pre-trained Mitochondria TEM deep learning model, which can either be used alone, or combined with the Mitochondria (EM) Protocol. These tools make the analysis of mitochondria in large volumes of TEM data easy, even with little to no image analysis experience.
Techniques: Electron Microscopy
How it works
Select Image
Select your TEM image and open the Mitochondria (EM) protocol.
Set Object Diameter
Set the mitochondria diameter.
Find Mitochondria
Find mitochondria with a pre-trained deep learning model.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Mitochondria Count
- • Mean Mitochondria Area
- • Sum Mitochondria Area
- • Mean Mitochondria Aspect Ratio
- • Mean Circularity
- • Mean Equivalent Circle Diameter
- • Mean Diameter
- • Percent Area (Sum)
Solution requirements
Required Modules
Base
2D Automated Analysis
Cell Biology EM Protocol Collection
Mitochondria (EM) Protocol
AI Deep Learning
Life Science Models
TEM Mitochondria Model
Recommended Package
