Fluro Motion Corrector
Correct motion artifacts in fluorescence recordings and improve ΔF/F accuracy before analysis.
Learn More →Simplify Complex Scientific Data
No-code tools for fluorescence, thermal imaging, wingbeat, and neuroscience data built for life science researchers.
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What is DataLens.Tools?
DataLens.Tools is a no-code platform built for life science and neuroscience researchers who want reliable analysis without writing complex scripts.
- 📊 Analyze wingbeat, fluorescence, IR, or grayscale image data
- ⚙️ Automate repetitive lab workflows and calculations
- 📄 Generate structured, publication-ready reports and summaries
- 🧠 Use AI-powered tools to extract insights from complex datasets
Whether you are working in neurobiology, imaging, or experimental biology, DataLens.Tools helps you move from raw data to clear results faster.
📈 Personalized Data Analysis Services
Need help cleaning, analyzing, or visualizing your research data? Book a 1-on-1 consultation tailored to your project in biology, neuroscience, or imaging.
Learn More & Book Now🌟 Featured Tools
FLIR IR Image Analyzer
Analyze and interpret thermal images from FLIR cameras with region statistics and automated reports.
Learn More →🧠 Neuroscience Tools (New!)
📊 CalciumTrace: ΔF/F Extractor
Extract and visualize ΔF/F calcium imaging signals with automated baselining and export options.
Learn More →🧬 SpikeTrain Visualizer
Generate raster plots and PSTHs from spike trains — no coding needed, just upload your data.
Learn More →🎥 TrackViz: Behavior Heatmaps
Visualize movement paths, heatmaps, and velocity maps from behavioral tracking data in seconds.
Learn More →📚 Learning Hub
Step-by-step tutorials for modern biology, bioinformatics, and data analysis workflows. Learn practical methods you can apply directly to your own datasets.
RNA-seq
Build Gene Regulatory Networks from RNA-seq Using GENIE3
Learn how to infer gene regulatory relationships from RNA-seq data using GENIE3 and translate expression data into biological network insight.
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Single-Cell
Single-Cell RNA-seq Quality Control & Cell Filtering
A practical guide to filtering low-quality cells, assessing QC metrics, and preparing single-cell RNA-seq data for downstream analysis.
Open Tutorial →📬 Contact Us
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