Publications by authors named "Eyobel Haile"
Article Synopsis
- Photometry is a technique that measures changes in fluorescence to study rapid molecular changes in the brain and is becoming increasingly popular in neuroscience due to its affordability and flexibility.
- The Photometry Analysis Toolkit (PhAT) is a new, free, open-source software designed to help researchers analyze photometry data without needing coding skills, offering features like signal normalization and data alignment with behavioral events.
- PhAT also supports the community-driven development of new analytical modules and includes practical recommendations for conducting high-quality photometry experiments, aiming to enhance data transparency and reproducibility.
Photometry approaches detect sensor-mediated changes in fluorescence as a proxy for rapid molecular changes within the brain. As a flexible technique with a relatively low cost to implement, photometry is rapidly being incorporated into neuroscience laboratories. While multiple data acquisition systems for photometry now exist, robust analytical pipelines for the resulting data remain limited.
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