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Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies
Sponsor: University of Rochester
Summary
The goal of this study is to investigate the ability of a machine learning model to evaluate two-photon fluorescence microscopy images of dermatologic biopsies at point of care. The main question it aims to answer is: • How well do two-photon fluorescence images of biopsies taken in a clinic and evaluated by a machine learning model agree with conventional histology?
Official title: Machine Learning Analysis of Expanded Two-photon Imaging of Skin Biopsy Specimens
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
92
Start Date
2026-06-01
Completion Date
2027-07-01
Last Updated
2026-07-06
Healthy Volunteers
No
Interventions
Two photon microscopy imaging
Ex vivo tissues will be imaged with two-photon microscopy and analyzed with machine learning for diagnosis
Locations (1)
Rochester Dermatologic Surgery
Victor, New York, United States