Cars-based label-free high-content screening platform for hair follicle biology

Overview

The CARS-based high-content screening platform offers a transformative approach to studying hair follicle biology. Utilizing Coherent Anti-Stokes Raman Scattering (CARS) microscopy, it enables label-free, non-invasive, and chemically-specific 3D imaging of lipids, proteins, and water in live human hair follicle organ cultures and ex vivo skin models. This technology provides quantitative insights into sebaceous gland lipid dynamics, compound penetration, sebocyte maturation, and follicular metabolic activity, which are essential for understanding hair growth cycling and regeneration. The platform supports automated multi-well imaging and analysis, allowing for efficient screening of multiple compounds across various concentration ranges without the need for fluorescent labels, thus eliminating labeling artifacts and phototoxicity.

Technical specifications

• Label-Free Imaging: Utilizes CARS microscopy for non-invasive, chemically-specific imaging without fluorescent labels.
• 3D Imaging: Provides three-dimensional imaging of live human hair follicles and skin models.
• Automated Multi-Well Screening: Supports automated imaging and analysis across multiple wells, enhancing throughput.
• Quantitative Readouts: Delivers data on lipid dynamics, compound penetration, sebocyte maturation, and metabolic activity.
• Scalability: Proven scalability with superior biological relevance compared to traditional fluorescence assays.

Technology readiness level

This technology is currently at TRL 4, indicating that it has been validated in a laboratory environment. The future validation plan includes a 9-month sponsored research project aimed at optimizing CARS imaging protocols, developing automated analysis pipelines, and conducting proof-of-concept screenings with a focused compound library. This structured approach ensures alignment and iterative refinement, preparing the platform for broader commercial applications.