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This study presents a new classification of adult human scalp hair patterns based on high-resolution photographs, which may assist hair restoration surgeons and dermatologists in determining appropriate punch size for follicular unit extraction.

This review discusses various non-invasive methods for diagnosing alopecia areata, highlighting that trichoscopy signs like short vellus hairs and yellow dots are sensitive indicators of the condition, while advanced imaging techniques provide valuable information on hair follicle status and scalp inflammation.

This review evaluates hair growth measurement methods for human scalp hair, suggesting that combining highly resolutive analytical approaches with global calibrated methods is recommended for assessing hair changes in clinical settings.

This study suggests that low-cost videomicroscopes may inaccurately assess certain features in hair and scalp disorders compared to standard videodermatoscopy, limiting their reliability for trichoscopy.

This study suggests that low-cost videomicroscopes may not be reliable for diagnosing hair and scalp disorders due to limitations in color quality and resolution.