BeatProfiler is featured on the front page of @ColumbiaEngineering and also reported by multiple scientific and media outlets including IEEE Engineering in Medicine and Biology Society, bioengineering.org, ScienceDaily, MedicalXpress, and so on.
We're excited to announce that both macOS-v1.0-universal and Windows-v1.0-universal of BeatProfiler are officially online for downloads! Head over to the download section to download!
We're excited to announce that our paper "BeatProfiler: Multimodal in vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs" has been accepted by IEEE Open Journal of Engineering in Medicine and Biology!
Trying to find a different version? Find all releases
Trouble installing? Check out the installation notes
Install BeatProfiler's pip package
Find our documentation, software tutorials, and more (Under development, coming up soon!!)
Report bugs, ask questions, propose new features/improvements.
Check out the source code on GitHub.
Studying heart function and diseases, along with drug testing, has traditionally been a complex, slow process. Using cellular models for these studies often involves manual-intensive tasks, a high chance for errors, or costly, specialized equipment to examine heart cell activities.
BeatProfiler addresses these challenges head-on. Itâs a comprehensive software that automates the analysis of heart cell function from video data. Our software unifies the assessment of crucial functional metricsâsuch as contractility, calcium handling, and force outputâstreamlining research and minimizing errors. It significantly outperforms existing methods, offering analyses up to 50 times quicker and far more accurate. This level of speed, accuracy, and depth of analysis is unprecedented, setting a new benchmark in the field. This marks one of the first times such a fast, accurate, comprehensive, and automated tool has been made accessible.
What makes BeatProfiler so powerful:
Drop the video folder into BP and start analysis in as little as 3 clicks
TutorialBeatProfiler is a the first-ever multi-modal cardiac imaging analysis software that's capable of fully automating the high-throughput pre-processing and analysis of cardiac fluorescence and brightfield imaging videos for iPSC-CM monolayers, spheroids, and engineered heart tissues.
Powered by advanced image processing algorithms and AI, it offers unmatchable speed and precision, allowing for automated extraction of photobleach corrected traces, traditional feature metrics, single beat segmentation traces, and tissue forces for downstream analysis and application.
Give it a shot for your dataset! Enjoy!
Kim, Y., Wang, K., Lock, R., Nash, T., Fleischer, S., Wang, B., Fine, B., Vunjak-Novakovic, G.(2024). BeatProfiler: Multimodal in vitro analysis of cardiac function enables machine learning classification of diseases and drugs. IEEE Open Journal of Engineering in Medicine and Biology, 5, 238-249. doi | pdf
BeatProfiler is free for research use only, if you use/adapt/modify BeatProfiler for any commercial purpose, please contact Columbia Technology Ventures for inquiries of a license.