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Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.

This study describes characteristic trichoscopic features of various hair loss diseases and proposes an algorithmic method for diagnosing them, but reports no new clinical results.

This article reviews trichoscopic techniques for diagnosing common hair loss conditions and presents a revised algorithm for identifying specific features of cicatricial and noncicatricial alopecia, but reports no new clinical results.

This study introduced a non-invasive, three-step diagnostic algorithm for alopecia that combines clinical and trichoscopic features to accurately identify alopecia subtypes, potentially reducing reliance on invasive histopathology.

This study found that Mueller Matrix microscopy can accurately identify, detect, and evaluate hair follicles in mouse skin tissue, suggesting its potential for skin structure research and dermatological applications.