PVBS: Prairie View Browsing Solution
Copyright (C) 2022-2024, Jaeyoung Yoon.
(jy.yoon@tch.harvard.edu)
- MATLAB-based general-purpose GUI for browsing and analyzing electrophysiology (patch clamp) and calcium imaging data
- Initially developed for interpreting data acquired with Prairie View (Bruker), but compatible with any data in the following format:
(Supported experiment types)
1) *.CSV (any data)
2) *.ABF (from pClamp)
3) *.XML (from Prairie View (PV))
3-1) VoltageRecording
3-2) LineScan (synchronized with VoltageRecording and/or MarkPoints)
3-3) T-Series (of VoltageRecording type experiments)
- The use or modification of this software (PVBS) is consented only under agreement to cite the developer and/or the original source code (https://github.com/flosfor/pvbs) within the body of the published work or presentation, wherein PVBS was used.
- Instructions:
1) Run PVBS.exe
- Stand-alone executable that can be run without a licensed copy of Matlab
- Requires either Matlab Runtime (R2023a (9.14)), or a licensed copy of Matlab with Statistics & Machine Learning Toolbox and Signal Processing Toolbox
- If run with Matlab Runtime (MCR), make sure to have the correct version of MCR (R2023a (9.14)) (https://www.mathworks.com/products/compiler/matlab-runtime.html)
- Can be slower than running PVBS.m from Matlab IDE, but only at startup for initializing MCR
- or -
2) Run PVBS.m
- Requirements: Statistics & Machine Learning Toolbox and Signal Processing Toolbox (developed with R2023a)
- For a usage example:
1) Unzip sampledata.zip (, .z01, .z02)
(Download from Github by left-clicking on each file name and then clicking "download", instead of right-clicking on the file names and choosing "save link as" - file sizes should be 14.2 MB (.zip) or 24.0 MB (.z01 & .z02))
2) Load sampledata.mat using the "Load Dataset (.mat)" button on the PVBS GUI
(NOT "Load Experiment (.abf, .xml, .csv)" - this function is for loading experiment files containing data and/or metadata, not for loading dataset .mat files saved from PVBS)
- For additional scripts that can be used with PVBS:
Scripts for PVBS-processed data (https://github.com/flosfor/pvbs_auxiliary)