Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
1 citations
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March 2015 in “Journal of Visualized Experiments” Researchers developed a new, precise method to measure hair loss in mice using image analysis.
161 citations
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July 2003 in “ACM Transactions on Graphics” Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
April 2016 in “Journal of Investigative Dermatology” Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
56 citations
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September 2013 in “Experimental Dermatology” The guide explains how to study human and mouse sebaceous glands using various staining and imaging techniques, and emphasizes the need for standardized assessment methods.
32 citations
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January 2016 in “Development” Sebaceous lipids are crucial for keeping skin and eyes healthy in mice.
5 citations
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July 2022 in “Radiation Research” The mouse model helps study and develop treatments for radiation-induced saliva reduction.
1 citations
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February 1991 in “Journal of Biological Chemistry” 13 citations
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January 2022 in “Microvascular Research” LSCI-HR is reliable for monitoring blood flow in wound healing in mice.
1 citations
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February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
June 2015 in “The American journal of dermatopathology/American journal of dermatopathology” The study found that a one-step antibody method is better than the LSAB method for accurately studying hair follicle structures without false positives.
December 2018 in “Dermatologic Surgery” June 2025 in “British Journal of Dermatology” Certain hair and scalp features can predict the severity of alopecia areata.
5 citations
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September 2005 in “Hair transplant forum international” Nature uses midline convergence to make the center of something look denser or thicker.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
8 citations
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January 2016 in “Skin research and technology” The 12-point scale is better for evaluating small changes in hair condition after using hair care products.
9 citations
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June 2012 in “Joint Conference on Lexical and Computational Semantics” The gel effectively thickens eyelashes and eyebrows without side effects.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
49 citations
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March 1996 in “Experimental Brain Research” 3 citations
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January 2019 in “Electronic Imaging” The device accurately estimates natural hair color at the roots in real time.
September 2022 in “Journal of Investigative Dermatology” Patient-reported outcomes better reflect the quality of life impact of alopecia areata than traditional severity scores.
15 citations
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August 2020 in “Indonesian Journal of Electrical Engineering and Computer Science” The system can automatically classify scalp conditions with 85% accuracy.
7 citations
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August 2015 in “Dermatologic Surgery” The cross beam laser is a useful tool for safely measuring scalp stretchiness to improve hair transplant results.
5 citations
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August 2005 in “Anatomy and Embryology” Rat skin has a linear system of nerve fibers linked to hair follicles and muscles.
5 citations
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April 2024 in “Heliyon” Wild and cultivated Saccharina latissima differ in chemical makeup and color due to environmental factors.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
29 citations
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January 2010 in “Methods in Enzymology” The document concludes that careful design of genetic fate mapping experiments is crucial for accurate cell lineage tracing in mice.
2 citations
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September 2017 Laser Lax is a new tool that measures scalp looseness accurately and comfortably.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
5 citations
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October 2021 in “Journal of the American Academy of Dermatology” PRAME helps distinguish between benign and malignant skin cells in most cases.