SCAnED - 一种开源皮肤分割宏，用于表皮和真皮皮肤隔室中的半自动细胞和细胞核检测

Overview

This study presents a semi-automated protocol using SCAnED for the identification and quantification of immune and non-immune cells in human skin sections. It aims to enhance accuracy and accessibility of image analysis in evaluating skin conditions such as inflammation and cancer.

Key Study Components

Research Area

• Immune cell profiling
• Skin pathologies
• Image analysis and segmentation

Background

• Importance of regulatory mechanisms in tissue homeostasis
• Challenges posed by large data from advanced imaging techniques
• Need for user-friendly analytical tools in biological research

Methods Used

• SCAnED macro for ImageJ
• Human skin sections (epidermis and dermis)
• Fluorescence imaging, intensity thresholding, and segmentation

Main Results

• SCAnED accurately segmented skin cells compared to manual methods
• Quantitative analysis showed similar vimentin intensity in both methods
• Increased presence of specific cell types in psoriatic skin compared to healthy controls

Conclusions

• The protocol provides a reliable and accessible option for studying skin biology
• Findings contribute to understanding skin diseases and improving diagnostic techniques

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