FPA: Fiber Photometry Analyser
Analyze Fiber Photometry Data with Ease – No Coding Required
Key Features
Batch import supporting several file formats
Up to 4 light channels per animal
Digital filtering tools to smooth your data and remove artefacts
Intuitive event manager to efficiently segment your data
Several normalization pipelines to suit a variety of experimental designs
Built-in plotting features to quickly explore your data
Efficient animal manager to organize subjects into groups and perform individual/group analyses
Find Out More:

Filtering & Smoothing
- Effortlessly eliminate large artefacts from your data
- Enhance data clarity using digital filters

Events & Animal Managers
- Conveniently segment your data with our intuitive event manager
- Define events as single points or as time-bounded events for precise analysis
- Organize subjects into groups with the animal manager

Normalisation & Analysis
- Normalization Methods: ΔF/F per channel, ΔF/F isosbestic channel fitting, Z-score normalization
- Analysis Options: Area Under the Curve (AUC), Standard Error of the Mean (SEM)/Standard Deviation (SD), Peak Analysis

Data Visualization
- Line plots: raw data, normalised data, SEM, area under the curve, peaks
- Heatmap
- Bar Plot
Associated Publications
Journal of Neuroscience 2023- M2 Cortex Circuitry and Sensory-Induced Behavioral Alterations
Current Biology 2022- Hypothalamic AgRP neurons exert top-down control
Cell Metabolism 2021- OPA1 in POMC neurons couples Ca2+ homeostasis