Import, map, inspect
Read measurements, define the plate, and surface quality warnings before calculations continue.
Scientific software · Active prototype
MesoLab Analytics
An offline analysis environment designed around real drug-response workflows: plate layout, quality control, normalization, curve fitting, comparison, statistics, and export.
MesoLab · Fit curves
Dose-response comparison
PF155 · PF760 · PF998
Curves
Comparison summary
PF155clean fit, all points kept
IC50 foundPF7601 outlier excluded manually
ReviewedPF998warning acknowledged in QC
ProceedThe problem
Spreadsheets are flexible. That is also the danger.
A dose-response workflow contains many small decisions: plate structure, controls, missing values, normalization, fit quality, excluded points, and the meaning of an IC50 estimate.
MesoLab aims to make those decisions visible and repeatable without requiring every laboratory user to write analysis code or manually reconstruct the same workbook.
Seven-step workflow
One clear path from measurement file to report.
The interface keeps each decision in context and makes the next step obvious.
Normalize, fit, compare
Apply control logic, estimate 4PL curves, and compare cell lines or treatment conditions.
Export with context
Create understandable outputs that preserve assumptions, warnings, and decisions.
Research origin
Grounded in mesothelioma drug-response work.
The project grows from practical experience with Nintedanib, autophagy inhibitors, 2D and 3D models, viability assays, Western blots, and flow cytometry.
That context influences the interface: controls matter, inconsistent cell-line behavior needs to remain visible, and a curve is not automatically trustworthy because software produced it.
Current roadmap
From prototype to dependable research workflow.
Development is focused on the core analysis path before expanding into every possible laboratory method.
Drug response
Import, plate layout, QC, normalization, 4PL fitting, comparison, statistics, and export.
Western blot
Measurement import, setup, densitometry context, normalization, and reporting.
Combined analysis
Bring multiple experimental views together without obscuring their limitations.
Contact
Science, software, or something between them?
Reach out about biotechnology, laboratory tools, local-first AI, research software, or a useful collaboration.
