Fiber Thickness
(EM Electrospun)
The ability to precisely measure fiber thickness (diameter) is crucial for quality assurance in the production of electrospun fibers, glass, ceramics, and similar materials. However, segmenting densely packed fibers within a field of view can often be a challenging and time-consuming task.
The Image-Pro Fiber Thickness (EM Electrospun) protocol streamlines this process with a series of easily configurable steps, enabling efficient analysis of large datasets with minimal image analysis expertise. Individual fibers can be segmented using pre-trained deep learning models, machine learning, or a custom algorithm, ensuring accurate and reproducible results.
Techniques: SEM
How it works
Select Channel
Select the channel that contains fibers.
Set Diameter
Set the diameter for a pre-trained deep learning model, or set settings for machine learning or a custom algorithm.
Measure
Automatically measure fiber thickness.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Mean Thickness
- • Minimum Thickness
- • Maximum Thickness
- • Standard Deviation
- • Mean Fiber Angle
- • Custom user-defined measurements
Solution requirements
Required Modules
Base
2D Automated Analysis
Materials EM Protocols Collection
Fiber Separation (EM)
Recommended Package
Literature spotlight
- Ali, U., Abbas, A., Aslam, S., Niu, H., Qadır, M. B., Lin, T., & Aleem, A. U. (2021). Influence of spinneret polarity in needleless electrospinning. Textile and Apparel, 31(1), 10-18.
- Uehlin, A. F., Vines, J. B., Feldman, D. S., Nyairo, E., Dean, D. R., & Thomas, V. (2022). Uni-directionally oriented fibro-porous PLLA/Fibrin bio-hybrid Scaffold: mechano-morphological and cell studies. Pharmaceutics, 14(2), 277.
- Wang, C., Chu, C., Zhao, X., Yang, Y., Hu, C., Liu, L., ... & Man, Y. (2022). The diameter factor of aligned membranes facilitates wound healing by promoting epithelialization in an immune way. Bioactive materials, 11, 206-217.
