1 citations
,
May 2019 in “Journal of The American Academy of Dermatology” This article discusses using the ImageMeter mobile app to calculate scalp area for PRP treatment in androgenetic alopecia, reporting no new clinical results.
169 citations
,
June 2010 in “Molecular & cellular proteomics” This study suggests that ethylene and lignoceric acid (C24:0) may promote cotton fiber and Arabidopsis root hair growth by activating the pectin biosynthesis network.
87 citations
,
March 2005 in “Journal of Dermatological Science” This study found that the extract of Asiasari radix may promote hair growth in mice by enhancing protein synthesis, cell proliferation, and growth factor expression.
75 citations
,
October 2002 in “Journal of Dermatological Science” This study found that Sophora flavescens extract may promote hair growth in mice by inducing earlier hair cycle changes and regulating growth factors in dermal papilla cells.
28 citations
,
October 2011 in “International Journal of Molecular Medicine” In this study, adenosine was found to stimulate hair follicle growth in vitro by promoting growth factor expression, β-catenin activation, and downstream signaling pathways.
28 citations
,
August 2003 in “Steroids” This study found that untreated hirsute patients have lower expression of type 2 17β-HSD mRNA in scalp hairs, indicating potential disturbances in androgen metabolism, compared to treated hirsute patients.
19 citations
,
January 2018 in “Scientific Reports” This study provided the first proteome dataset for alopecia areata, revealing novel pathways in the disease mechanisms that may lead to new therapeutic targets.
17 citations
,
October 2003 in “Brazilian Journal of Medical and Biological Research” This study found that SDR5A1 gene expression was similar between hirsute women, normal women, and men, suggesting it may not explain differences in hair growth among these groups.
12 citations
,
May 2003 in “Journal of dermatological science” This study found that the heat shock cognate protein Hsc70 was differentially expressed by dihydrotestosterone treatment in SV40-transformed dermal papilla cells, suggesting its involvement in androgen action on these cells.
10 citations
,
May 2018 in “Cell death discovery” This study found that the interaction between heat shock protein 90 and lamin A/C is crucial for the growth, migration, and self-aggregation of dermal papilla cells, suggesting a potential role in alopecia areata mechanisms.
10 citations
,
January 2016 in “PLOS ONE” This study investigated protein expression changes during mouse hair follicle cycles and suggested their involvement in biological networks, potentially identifying targets for hair disease therapy.
9 citations
,
October 2011 in “Journal of proteomics” This study found that taxol induces apoptosis in dermal papilla cells, affecting protein expression related to biological processes and potentially contributing to taxol-induced alopecia.
January 2006 in “The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology” This study found that Rubus coreanum extract promotes hair growth in mice, but its effects are not due to inhibition of specific enzymatic activities or growth factor expression.
13 citations
,
January 2001 in “Skin pharmacology and physiology” This article discusses a new device for visualizing and quantifying skin distribution of a radioactively labelled compound, but reports no new clinical results.
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.
9 citations
,
January 2011 in “Skin Research and Technology” 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.
April 2023 in “Journal of Investigative Dermatology” A new image-based method improves accuracy in measuring hair loss in mice.
February 2008 in “Basic and clinical dermatology” Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
November 2024 in “Image Analysis & Stereology” 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.
November 2019 in “Journal of Vertebrate Biology” QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
This study describes a new method using ImageJ to quantitatively assess hair loss in mice with alopecia areata, offering a more precise and reproducible alternative to traditional visual scoring systems by employing image-based analysis techniques.
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
2 citations
,
July 2025 in “Analytical Chemistry” This study reported the development of a workflow that combines SIMS and X-ray elemental mapping techniques for multimodal imaging at the single cell level, successfully applied to visualize elements, metals, and lipids in porcine skin without loss or delocalization.
This study developed a digital tool for quantitatively assessing hair in androgenetic alopecia, achieving an average accuracy of 79.45% for counting hairs and 68.19% for measuring hair size compared to human evaluation.
1 citations
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July 2023 in “Journal of the European Academy of Dermatology and Venereology” 9 citations
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September 2022 in “Frontiers in Physics” 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.
January 2023 in “Brazilian Journals Editora eBooks”
1 citations
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January 2022 in “Electronic Imaging” This study introduces a novel method for digitizing hair color that accurately captures and renders the color appearance of physical hair samples in synthetic images.
January 2018 in “Surgical and Cosmetic Dermatology” In this study, researchers validated a software-based method that quantitatively assesses the effectiveness of treatments for hair loss by calculating the area of hair loss using contrast in standardized photographs, proving effective for both early and advanced cases of androgenetic alopecia and telogen effluvium.
April 2023 in “Journal of Investigative Dermatology” This study reports that improvements to the EczemaNet pipeline, incorporating pixel-level segmentation and data augmentation, enhanced the reliability and interpretability of assessing atopic dermatitis severity from digital images.