Cell Morphology
Cellular morphology is highly plastic and dynamic, it is an important and informative trait in a variety of biological contexts, especially the study of disease (Tegtmeyer 2024).
Such studies are made easy with the Image-Pro Cell Morphology protocol which measures a large array of morphological measurements at both the individual cellular level and as means for whole populations.
The protocol can be combined with pre-trained deep learning models which make accurate measurement of individual cellular morphology and often demonstrate superior performance compared to traditional machine learning methods (Molho et al. 2024). The protocol allows analysis of large volumes of data in complex formats such as multi-well plates with little to no image analysis experience.
Techniques: Fluorescence, Brightfield
How it works
Select Channel
Select the channel that contains labeled cells.
Set Object Diameter
Set the diameter of labeled cells.
Find Cells
Find cells with a pre-trained deep learning model, machine learning or threshold segmentation.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Aspect Ratio
- • Axis Major
- • Axis Minor
- • Clumpiness
- • Diameter
- • Diameter (Equivalent Circle)
- • Fractal Dimension
- • Heterogeneity
Solution requirements
Required Modules
Base
2D Automated Analysis
Cell Biology Protocol Collection
Cell Morphology Protocol
AI Deep Learning
Life Science Models
Fluorescent Cells Model
Recommended Package
