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This study applied a new RGB trichrome stain to human skin samples, revealing distinct structural staining in normal tissues and potential proteoglycan-rich zones in hair follicles.

This research found that modifying brachytherapy seeds with contrast-enhancing materials in photoacoustic imaging increased signal-to-noise ratios and imaging depth, and demonstrated potential for tissue differentiation by analyzing temperature-induced changes in PA intensity.

This study found that ultraviolet light-enhanced visualization can detect subtle skin changes linked to carotene and vitamin A deficiency, which improved with dietary correction in deficient individuals.

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 demonstrates that confocal laser scanning microscopy can effectively visualize the rapid diffusion and penetration pathway of a dye into the hair follicle in fresh human scalp skin.

The model can effectively identify good quality skin images but needs more testing for real-world use.

This study found variation in erythema induction across skin types, suggesting different SSR dose responses and highlighting a potential model for tailoring anti-inflammatory treatments.

This article reviews applications of optical coherence tomography techniques in medicine, including for diagnosing androgenic alopecia and monitoring blood coagulation, but provides no new clinical results.

This study used ultrahigh-resolution optical coherence tomography to observe hair shaft structures, finding melanin granules absent only in white hair, which may explain color differences between black and white hair.

This study concluded that the Scalp Photographic Index is a reliable and validated tool for objectively classifying and scoring various scalp conditions.

This study developed an automated image analysis framework for diagnosing hair disorders using trichoscopic images, reporting a Random Forest classifier as having an 86.67% accuracy in distinguishing between different scalp pathologies based on quantitative image features.

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 article reviews the expanding role of dermatologic ultrasonography in patient management for various skin conditions, highlighting its advantages over other imaging techniques, but reports no new findings.

This study utilized magnetic resonance imaging to noninvasively visualize and differentiate skin structures in rat skin, finding a significant correlation between MRI data and histological areas.

This study demonstrates the potential of infrared spectral imaging to assess hair follicle structures and heparan sulfate proteoglycan distribution across different phases of the hair growth cycle, offering promise for alopecia research.

This study used infrared spectral imaging to show for the first time the distribution of glypican-4 and glypican-6 in hair follicles across different growth phases, highlighting the potential of this technique for studying alopecia.

This study found that their newly developed ADRL framework significantly improved the accuracy of scalp tissue layer segmentation in HR-MR images compared to existing methods.

This study found that the dual-wavelength non-ablative fractional laser provides enhanced skin rejuvenation by increasing thermal lesion coverage and collagen remodeling compared to using the CO2 laser alone in an ex vivo setting.

In this study, improved hidden Markov algorithms based on Bayesian methods enhanced the resolution and segmentation accuracy of low-dose CT images significantly more than naive Bayesian methods.

This study found that tristimulus colorimetry is a sensitive and quantitative method for projecting hair growth rates in depilated mice, and it observed that 890 nm LED irradiation promotes hair regrowth.

This study found that trichoscopy can differentiate between dermatomyositis, systemic lupus erythematosus, and systemic sclerosis by identifying distinctive features and may help assess disease activity.

This study used fibre optic confocal imaging to visualize subsurface structures in live mouse skin, revealing cellular details and blood vessel networks that dynamic events could be studied in vivo.

This study found that combining second-harmonic generation with optical coherence tomography may effectively evaluate wound healing by monitoring collagen formation and optical signal changes in regenerated tissue.

In this study, researchers developed a custom-designed 3D-printed microscope stage insert for inverted confocal microscopes, enhancing the accessibility of long-term intravital imaging of live cell dynamics in live transgenic mice, particularly in the skin.

In this case report, narrowband-UVB phototherapy successfully treated a rare instance of Graham Little-Piccardi-Lassueur syndrome, a variant of lichen planopilaris, as investigated through non-invasive imaging techniques.

This study found that multiparametric ultrasound effectively detects real-time scalp changes caused by vasoconstrictive cosmetic agents, demonstrating its potential as a non-invasive tool for evaluating trichological treatments.

This study developed a high-resolution phototrichogram system that can automatically and accurately assess hair growth metrics in cosmetic trials, achieving over 90% correlation with manual measurements.

This study successfully used ATR FT-IR spectroscopy to uniquely identify or differentiate human hairs by detecting specific spectral features associated with individual hair characteristics and cosmetic residues on hair surfaces.