Compute ΔF/F, correct photobleaching, and generate peri-event time histograms from fiber photometry recordings. Supports TDT, Doric, and generic CSV formats.
When to use
Do not use for
The 405 nm isosbestic channel captures bleaching and motion artifacts without calcium-dependent signal changes. Without it, bleaching correction relies solely on exponential fitting, which may not capture non-exponential drift.
The first 10% of the trace is used as the baseline by default. If your recording starts during a behavioral epoch or after LED warm-up artifacts, crop the trace or adjust the baseline period before analysis.
Some fibers and indicators exhibit bi-exponential bleaching (fast + slow component). If the R-squared of the single-exponential fit is below 0.9, consider fitting the first few minutes separately or using the isosbestic subtraction method instead.
PETH alignment precision is limited by your behavioral event timestamps. If events are only accurate to plus/minus 100 ms (e.g., manual scoring), high-frequency features in the PETH may be smeared. Use hardware TTL pulses for precise alignment.
Bleaching correction uses Levenberg-Marquardt least-squares fitting of a single exponential decay (y = a*exp(-bt) + c) to the raw signal, then subtracts the fitted curve. Delta-F/F is computed relative to the first 10% of the corrected trace as baseline. Z-scores use baseline mean and standard deviation. PETH extracts time-locked windows around each event, computes point-wise mean plus/minus SEM.
Last validated 2026-04-08. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.
ConductScience Fiber Photometry Signal Calculator (v1.0). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/fiber-photometry-signal-calculator
Lerner TN, et al. Intact-brain analyses reveal distinct information carried by SNc dopamine subcircuits. Cell. 2015;162(3):622-634.
Martianova E, et al. Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals. J Vis Exp. 2019;(152):e60278.
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