research Reply to: “Updated diagnostic criteria for frontal fibrosing alopecia”
The authors updated the criteria for diagnosing frontal fibrosing alopecia, making it easier to diagnose without a biopsy.
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780-810 / 1000+ results research Ultrahigh-Power Sonicator Lysis Enables Deep Proteomic Profiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
research Contrast enhanced phototrichogram (CE-PTG): an improved non-invasive technique for measurement of scalp hair dynamics in androgenetic alopecia–validation study with histology after transverse sectioning of scalp biopsies.
CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
research Clinical and trichoscopic features of early congenital syphilis: a single-center cross-sectional study
Trichoscopy can help diagnose early congenital syphilis in newborns.
research Diagnostic Performance of the Trichogram Compared to Histopathology of Scalp Biopsy in horizontal sections in Female Androgenetic Alopecia: A Retrospective Study
The trichogram is a practical, non-invasive, and cost-effective tool for diagnosing female androgenetic alopecia.
research A new staining method for visualization of keratin filaments in hair fibre cross sections.
A new method effectively visualizes keratin in hair without harsh chemicals.
research Special Stains and Immunohistochemical Stains in Hair Pathology
Special and immunohistochemical stains are not routinely needed for diagnosing hair disorders.
research DIFFERENTIAL STRIPPING TECHNIQUE TO DETERMINE FINASTERIDE RETENTION IN HAIR FOLLICLES AFTER IN VITRO TOPICAL APPLICATION
research Micro-autologous Fat Transplantation (MAFT) for Forehead Volumizing and Contouring
MAFT is a reliable method for forehead contouring with high patient satisfaction and long-term results.
research Polarized Microscopy as a Helpful Tool to Distinguish Chronic Nonscarring Alopecia From Scarring Alopecia
Polarized microscopy is a quick and free method to correctly identify types of hair loss.
research Application of second near infrared fluorescence imaging to trace CelTrac1000-labeled hair follicle epidermal neural crest stem cells in repairing rat facial nerve defects
NIR-II imaging effectively tracked stem cells that helped repair facial nerve defects in rats.
research Technique for Processing and Routing Staining of Hair Samples for Histological Study
A new method effectively stains hair samples for study without losing hair sections.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research Evaluation of dermoscopy in differential diagnosis of facial actinic keratosis
Dermoscopy is effective in diagnosing facial actinic keratosis using specific features.
research Correlation Between In Vivo Reflectance Confocal Microscopy and Horizontal Histopathology in Skin Cancer: A Review
Reflectance confocal microscopy reliably identifies skin cancer features like horizontal skin tissue sections.
research Photographic Imaging in Hair Loss
Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
research The current state of play in the histopathologic assessment of alopecia: two for one or one for two?
The document concludes that choosing the right biopsy site is crucial for accurate alopecia diagnosis, and combining methods can improve results.
research A comparative study of histopathologic features in alopecia areata and pattern hair loss
The study found certain scalp biopsy features can help tell apart alopecia areata from pattern hair loss even when typical immune cells are not seen.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
research Familial frontal fibrosing alopecia: A cross‐sectional study of 20 cases from nine families
Frontal fibrosing alopecia in families shows similar signs to individual cases and may have a genetic link.
research DAB-labelling for collagen type III and PDGFR as control on equine skin sections.
DAB labeling effectively identifies collagen type III and PDGFR in horse skin, but may show false positives.
research Transmission electron microscopy staining methods for the cortex of human hair: a modified osmium method and comparison with other stains
The modified osmium method improves hair cortex staining for better visualization.
research Application of XANES profiles to X-ray spectromicroscopy for biomedical specimens: Part II. Mapping oxidation state of cysteine in human hair
Perming and bleaching damage hair differently, with bleached hair having more cysteic acid in the cuticle.
research Diagnosis of Hair Disorders
The document concludes that accurate diagnosis of hair disorders is crucial and requires a range of diagnostic methods.
research A systematic study of determination and validation of finasteride impurities using liquid chromatography
Method found to accurately identify finasteride impurities using liquid chromatography.
research Determination of cantharidin,nitrogen mustard and minoxidil in nurturing hair products by liquid chromatography-tandem mass spectrometry
research Dermoscopy guided scalp biopsy in cicatricial alopecia
Using dermoscopy to guide scalp biopsies is an effective way to diagnose cicatricial alopecia.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.