# A semi‐automated observation approach to quantify mouse skeletal muscle differentiation using immunohistochemistry

## TL;DR

A semi-automated method was developed to efficiently quantify muscle cell markers in mice, significantly reducing analysis time.

## Contribution

A semi-automated histological analysis method for quantifying Pax-7/BrdU-positive cells in skeletal muscle was developed and validated.

## Key findings

- A2 treatment increased muscle cell size as shown by a shift in CSA distribution.
- Semi-automated analysis showed a 20-fold reduction in analysis time with strong correlation to manual methods.
- BrdU/Pax-7 positive cells slightly increased with A2 treatment, while Pax-7 positive cells remained unchanged.

## Abstract

Histological analysis is vital for understanding skeletal muscle diseases. However, quantifying data requires much effort, so automation is expected to reduce workload. The present study proposes a semi‐automated method to quantify expressed paired box protein (Pax‐7) /bromodeoxyuridine (BrdU)‐positive cells. Soleus muscle was harvested from mice 2 weeks after oral administration of the epicatechin tetramer cinnamantanin A2 (A2), known to induce skeletal muscle hypertrophy. Before the necropsy, mice were treated with BrdU to facilitate cell tracking. For histological examination, frozen sections were stained with hematoxylin and eosin (HE) to measure cell size by cross‐sectional area (CSA) and were immunostained with anti‐BrdU and anti‐Pax‐7 antibodies. Treatment with A2 caused a shift in the CSA distribution curve towards larger values, thus revealing an increase in muscle size. The analysis of BrdU/Pax‐7 positive cells, performed both manually and semi‐automatically, revealed a slight increase with A2 treatment, while Pax‐7 positive cells remained unchanged. Correlation between manual and semi‐automated analysis showed a coefficient of determination of 0.7132, indicating a significant reduction in analysis time by approximately 20 times. This study highlights the effectiveness of semi‐automated histological analysis in skeletal muscle research and provides a practical solution to increase the efficiency of muscle regeneration evaluation.

In this study, we developed a semi‐automated method to quantify Pax‐7 positive cells in skeletal muscle. The results of the developed semi‐automated method showed good correlation with the manual method, and the analysis time was reduced to one‐twentieth of the manual method.