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A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
Published on: March 9, 2015
Imaging Tools for Noninvasive Hair Assessment
Alexandra Rubin1, Rohan R Shah1, Samavia Khan1
1Center for Dermatology, Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, Somerset, New Jersey. Dr. Rao also is from Department of Dermatology, New York-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York.
Advanced noninvasive imaging tools like reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) now offer detailed hair and scalp assessments, improving alopecia diagnosis and treatment monitoring.
Area of Science:
- Dermatology
- Medical Imaging
- Trichology
Background:
- Historically, noninvasive assessment of hair and scalp conditions has been limited.
- Recent technological advancements are addressing this gap in trichology.
- Traditional methods lacked the detail and noninvasive nature of current tools.
Purpose of the Study:
- To review the advancements in noninvasive hair and scalp imaging technologies.
- To highlight the clinical applications and benefits of new diagnostic tools.
- To inform clinicians about the advantages and limitations of these emerging technologies.
Main Methods:
- Review of recent developments in global photography, reflectance confocal microscopy (RCM), and optical coherence tomography (OCT).
- Discussion of software analysis for standardized imaging and convolutional neural networks for parameter quantification.
- Exploration of how these tools guide scalp biopsy site selection.
Main Results:
- Modern global photography uses software for standardized, reproducible images.
- Reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) provide in vivo visualization of subclinical changes in alopecia.
- Convolutional neural networks are being trained to quantify hair parameters from OCT scans.
Conclusions:
- Noninvasive imaging tools like RCM and OCT offer significant new insights into hair and scalp conditions.
- These technologies enhance diagnostic capabilities and treatment monitoring in trichology.
- Clinicians need to be aware of the capabilities and constraints of these advanced imaging modalities for optimal patient care.

