December 2023 in “The journal of cell biology/The Journal of cell biology” The mTurq2-Col4a1 mouse model shows how the basement membrane develops in live mammals.
1 citations
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January 1989 Four antibodies were developed to help study hair follicle cell differentiation.
1 citations
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January 2022 in “Anais brasileiros de dermatologia/Anais Brasileiros de Dermatologia” Reflectance confocal microscopy may help diagnose trichofolliculoma by showing specific skin features.
January 1991 in “Acta Dermato Venereologica” A new method effectively visualizes keratin in hair without harsh chemicals.
November 2022 in “Journal of Investigative Dermatology” A new tool helps study hair follicle cells to develop better treatments for hair disorders.
38 citations
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March 2015 in “Journal of controlled release” IMSG nanoparticles improve vaccine delivery and immune response through hair follicles.
January 2016 in “Institutional Repositories DataBase (IRDB)” Sebaceous glands help study fatty acid transporters and binding proteins.
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April 2020 in “Dermatology practical & conceptual” Reflectance confocal microscopy is useful for diagnosing and monitoring skin diseases, but it has limitations and requires expertise for correct use.
58 citations
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November 2013 in “Journal of Innovative Optical Health Sciences” Multiphoton microscopy is a promising tool for detailed skin imaging and could improve patient care if its challenges are addressed.
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July 2003 in “Histochemistry and Cell Biology”
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October 2024 in “Dermatology Practical & Conceptual” Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
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July 2015 in “International Journal of Nanomedicine” Increased liposome fluidity boosts skin penetration of sodium fluorescein.
February 2023 in “International journal of research - granthaalayah” The new microscope method helps study energy from pre-cancerous skin cells.
February 1985 in “PubMed”
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October 2012 in “ChemistryOpen” Probe detects finasteride with high selectivity and low detection limit.
7 citations
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June 2017 in “Journal of Cutaneous Pathology” Cystic panfolliculoma resembles hair follicle tumors due to specific cell interactions.
April 2017 in “Journal of Investigative Dermatology” Researchers improved a method to study individual cells in newborn mouse skin and found a way to assess the severity of a skin condition in humans.
1 citations
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August 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
4 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The tool iCOUNT helps understand how stem cells divide and affect tissue development and repair.
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January 1992 in “Journal of Investigative Dermatology” 78 citations
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July 1984 in “Journal of Investigative Dermatology” 117 citations
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September 2003 in “Molecular & cellular proteomics” The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
61 citations
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May 2016 in “Scientific reports” The peptide IMT-P8 can effectively deliver proteins into the skin and cells for potential skin treatments.
September 2017 in “Journal of Investigative Dermatology” QMSI effectively maps and quantifies drug distribution in skin tissues.
13 citations
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September 2021 in “Communications Biology” Co5M offers a new way to observe and understand wound healing without labels.
11 citations
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January 1996 in “PubMed” Imaging living plant cells shows dynamic changes in actin and endoplasmic reticulum linked to root hair growth.
January 2024 in “Wiadomości Lekarskie” AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
37 citations
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July 2016 in “Current Opinion in Cell Biology” Live imaging has advanced our understanding of stem cell behavior and raised new research questions.
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May 2016 in “Journal of nature and science” The method successfully imaged hair follicles under the skin using iron nanoparticles.
24 citations
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March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.