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Histomorphometry in Peripheral Nerve Regeneration: Comparison of Different Axon Counting Methods
Lynn M Orfahli1, Majid Rezaei1, Brian A Figueroa1
1Department of Plastic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
The Journal of Surgical Research
|August 17, 2021
Summary
Histomorphometry methods for nerve regeneration vary widely. Sampled manual and automatic analyses are reliable with standardized methods, but researchers must be aware of the diverse techniques used in studies.
Area of Science:
- Neuroscience
- Regenerative Medicine
- Quantitative Biology
Background:
- Histomorphometry is crucial for quantitatively evaluating nerve regeneration.
- Manual analysis of total myelinated fiber count (TMFC) across full nerve cross-sections is accurate but time-consuming.
- Automated and sampled analysis methods are common but lack consistent validation.
Purpose of the Study:
- To compare the reliability and consistency of common histomorphometric methods for nerve regeneration analysis.
- To validate sampled manual (SM) and sampled automatic (SA) analysis against full manual (FM) methods.
- To analyze variability in histomorphometry techniques used in scientific literature.
Main Methods:
- Sciatic nerve (SN) isografts were performed in 24 rats.
- Total myelinated fiber count (TMFC) was determined using full manual (FM), sampled manual (SM), and sampled automatic (SA) methods.
- Myelinated fiber diameter, axon diameter, myelin sheath thickness, and G-ratio were measured; statistical analyses included MANOVA and Spearman correlation.
Main Results:
- Sampled methods (SM, SA) yielded significantly different TMFCs compared to FM.
- All methods showed strong correlations, particularly FM and SM (rs = 0.912).
- Fiber diameter, axon diameter, and myelin sheath thickness did not significantly differ between FM and SM.
Conclusions:
- Sampled manual and automatic histomorphometry analyses are reliable when employing standardized, systematic sampling.
- Transparency in methodology is essential for comparing nerve regeneration data.
- Researchers should acknowledge the wide variability of histomorphometric techniques in published studies.

