Label-free hair follicle metabolism assessment using FLIM microscopy
A novel label-free imaging technique using fluorescence-lifetime imaging microscopy (FLIM) to assess hair follicle metabolism and health. It employs machine learning for metabolic profiling and regenerative potential inference, offering a non-invasive solution for anti-aging compound evaluation.
Overview
Our innovative solution utilizes fluorescence-lifetime imaging microscopy (FLIM) to provide a label-free assessment of metabolic changes in hair follicle cells. This technology aims to identify how various compounds affect the metabolism of hair follicles, particularly in relation to anti-aging properties. By analyzing the NADH/FAD profiles of hair follicles through a minimally invasive biopsy procedure, this method offers a promising tool for the cosmetics and pharmaceutical industries to evaluate the metabolic impacts of their products.
Technical specifications
- Label-free imaging: Utilizes FLIM to visualize metabolic changes without the need for external dyes or labels.
- Phasor plot approach: Enables the generation of metabolic NADH/FAD profiles for treated and control hair follicles.
- Self-supervised learning: Employs machine learning for image classification to create metabolic profile standards for distinct compounds.
- Non-invasive sampling: Hair follicles are obtained through plucking, providing live cells for analysis without the need for surgical procedures.
Technology readiness level
Currently at TRL 2, this technology has been demonstrated conceptually with ongoing experiments to validate its effectiveness. Future work includes performing FLIM on mouse hair follicles, assessing metabolic parameters, and developing a self-supervised learning algorithm to evaluate hair follicle health. These stages are anticipated to be completed within 7-9 months.
About University of California, Irvine
UC Irvine is a comprehensive public research university in the University of California system, known for large-scale research and a collaborative, cross-disciplinary culture. Industry engages through an adjacent research and technology park, an on-campus innovation hub that co-locates startups with corporate teams, and access to shared core laboratories across campus. Integration with a major academic health system provides pathways for clinical collaboration and translation. Research is supported by competitive federal funding from agencies such as NIH, NSF, DOE, and DOD, alongside state and industry partnerships. A central technology transfer office streamlines IP, licensing, and startup formation.
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