Digital Skin Analysis
Digital Skin Analysis - Related Videos
05:58
Preparation of Single-cell Suspensions for Cytofluorimetric Analysis from Different Mouse Skin Regions
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Cited by 21 •
2016
The skin is home to a complex immune cell network. We describe an efficient methodology for the digestion of mouse skin, from different parts of the animal's body, in order to obtain a single-cell suspension and analyze the different leukocyte populations resident in the skin by flow cytometry.
11:24
High-throughput Imaging and Analysis Workflow for Evaluating Skin Cell Phenotypes and Proliferation States in Tissue Samples
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Cited by 1 •
2025
The combination of iterative-bleaching-extends-multiplexity (IBEX) and a commercial nucleotide labeling assay (Click-iT EdU) enables the detection and categorization of dividing cell types in highly dynamic processes in fixed frozen murine tissue sections. Furthermore, a novel open-source image processing pipeline provides high-throughput image acquisition and analysis.
10:31
Lymphocyte Isolation from Human Skin for Phenotypic Analysis and Ex Vivo Cell Culture
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Cited by 16 •
2016
We describe a protocol to efficiently isolate skin resident T cells from human skin biopsies. This protocol yields sufficient numbers of viable human skin resident lymphocytes for flow cytometric analysis and ex vivo culture.
03:46
Malassezia-Induced Skin Inflammation and Fungal Burden Analysis in a Murine Model
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2025
This video demonstrates Malassezia-induced skin infection in mice. Malassezia oil suspension is applied over the wounded ear, triggering inflammation and swelling of the ear tissue. Later, the ears are dissected, homogenized, and spread on an agar plate for growth. The number of colonies indicates the fungal burden resulting from skin inflammation.
13:58
Flat Mount Imaging of Mouse Skin and Its Application to the Analysis of Hair Follicle Patterning and Sensory Axon Morphology
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Cited by 26 •
2014
Mammalian skin contains a diverse array of structures - such as hair follicles and nerve endings - that exhibit distinctive patterns of spatial organization. Analyzing skin as a flat mount takes advantage of the 2-dimensional geometry of this tissue to produce full-thickness high-resolution images of skin structures.
FAQs
Standardized image acquisition makes measurements more comparable across patients, visits, or treatment stages. Consistency helps computational algorithms distinguish genuine changes in pigmentation, redness, texture, wrinkles, or lesion appearance from differences caused by how data were collected. This improves documentation and supports more reliable longitudinal monitoring, although the measurements still require clinical interpretation.
Image-processing algorithms evaluate visible patterns and convert them into quantitative measurements of features such as pigmentation, redness, texture, wrinkles, and lesion appearance. These measurements can then be compared with earlier assessments or reference data. The resulting numerical information gives clinicians a more consistent way to document change and evaluate treatment response.
Digital measurements add objective, repeatable documentation to findings obtained from clinical examination and patient history. They can highlight measurable changes that are useful for screening, treatment planning, or follow-up, but they do not replace clinical judgment. Combining all three information sources provides a broader basis for interpreting a patient’s skin findings.
A typical workflow begins by collecting standardized images, sensor readings, or other digital measurements. Image-processing methods and computational algorithms then assess selected skin characteristics, after which the results can be compared with reference data or measurements from another time point. Clinicians can use these comparisons to document findings and support subsequent assessment.
Clinicians may use it for dermatological screening, treatment planning, and monitoring visible changes over time. Quantitative measurements can help document baseline findings and assess whether features such as pigmentation, redness, texture, wrinkles, or lesion appearance have changed. The method can also support remote consultations when digital information is combined with appropriate clinical assessment.
In medical research, quantitative skin measurements provide standardized outcomes for studying skin disease and therapeutic response. Comparing digital findings over time or against reference data can make changes easier to document consistently across assessments. This supports evaluation of whether visible features change during a study, while clinical examination and patient history remain important for interpretation.