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In this study, researchers found that using a handheld digital microscope, hair diameter was a better determinant of perceived alopecia severity in androgenetic alopecia than hair density.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

This study found that low image resolutions allow expert clinicians to detect alopecia, but higher resolutions are necessary for identifying scarring and vellus hair, which may inform future image processing algorithms in dermatology.

This study developed a method that combines image-based and simulation techniques to improve the reconstruction of hair dynamics from multi-view videos, enabling accurate hair motion representation and animation.

Scalp photography helps patients feel less anxious about hair loss, agree more with doctors on severity, and stay motivated for treatment.

This study found that US and EU experts provided similar ratings of hair loss changes from global photographs in male subjects with androgenetic alopecia, supporting the use of standardized photographic evaluations.

This study found that the TrichoScan method for evaluating hair loss showed excellent correlation with manual marking and provided more consistent, reproducible results with less variability and operator error.

A new computer tool quickly measures hair thickness differences in people with common types of hair loss.

This study involved using smartphone applications and low-cost trichoscopy devices to assess various hair and scalp conditions, with diagnoses confirmed through detailed imaging during remote consultations and in-person evaluations.

This mini-review summarizes the Trichoscan as a sensitive tool for measuring hair growth parameters, demonstrating its effectiveness in detecting treatment response in androgenetic alopecia but noting some practical limitations.

This article discusses the professional skills and judgment required for maximizing hair restoration results and reports no new clinical findings.

This new method makes checking for female infertility less painful, less invasive, and doesn't use radiation.

This paper presents an RGB video microscopic system to monitor optical properties of hair shafts and follicles in vitro, but reports no new clinical results.

This study demonstrated that genetic markers can predict human ear morphology with moderate to good accuracy, potentially aiding forensic identification in crime scene investigations where traditional DNA matches are unavailable.

This research reported that using J48 algorithms with bagging improves prediction accuracy of hair health through machine learning by analyzing factors like spatial-temporal images, gender, and age, achieving a real-time performance of 89.5%.

This study describes a new method using near infrared femtosecond laser pulses to precisely ablate individual cells in the Drosophila epidermis and peripheral nervous system without damaging surrounding tissues, allowing for detailed observation of cellular responses post-ablation.

This study demonstrates that polarized second harmonic generation imaging effectively monitors wool fiber stretching, revealing significant structural changes in keratin alignment that improve textile performance.

This review discusses how trichoscopy is becoming a preferred non-invasive diagnostic tool over trichograms for evaluating hair disorders, although it reports no clinical results.

This study found that micro-computed tomography (micro-CT) was highly effective for analyzing the cross-sectional geometry of hair fibres, including the medulla in highly curled hair, but less effective than scanning electron microscopy for surface details.

This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.

This study found that miniaturization of hair is present in some women with androgenetic alopecia, but diagnosis may also be based on differences in hair shaft diameter between scalp regions.

This study explored the use of an AI-driven device, HairMetrix, to quantitatively assess the effects of PRP treatments on scalp health in two Caucasian women with androgenetic alopecia, reporting increases in average hair width and follicle count after one treatment.

This study found that examining hair morphology provides deeper insights than classification, suggesting a potential population stratification artefact between hair curvature and cross-sectional shapes in the examined admixed African-European sample.

This study suggests that using trichotillometry to establish the normal range of shear strain for different hair types could inform diagnostic and treatment decisions for various hair conditions.

This research describes using advanced mass spectrometry imaging techniques to analyze gunshot residue and map molecular components in biological samples, such as tumors and mosquito ovarian follicles, at unprecedented spatial resolution and specificity.

This study explored using 3D models derived from reflectance confocal microscopy to better understand and differentiate melanoma on sun-damaged skin, suggesting enhanced diagnostic possibilities.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This study found that the TrichoScan Professional V3.0.8.76 shows high reproducibility in measuring hair count and density but may not be effective for distinguishing hair growth phases in women with androgenetic alopecia.

This study describes a system called FOLLYSIS©, which uses mathematics and image analysis to optimize Follicular Unit Extraction hair transplants, showing high accuracy in measuring donor area density and reducing donor site injury.

This study found that using standardized photography for patients with hair loss improves clinical documentation, which in turn can enhance patient care and treatment outcomes.