About VoilaBlot
The Story
We’re scientists who got tired of quantifying western blots by hand.
If you’ve done densitometry in ImageJ, you know the ritual: draw a rectangle around every band, run a plot profile, drop a line to close each peak, take the wand tool, read off the area, and copy it into a spreadsheet — then do it all again for the loading control, then compute the ratios yourself. Fifteen-plus manual steps per blot, every one a chance to misplace an ROI, clip a band, or fat-finger a number into the wrong cell.
It’s slow. It’s subjective — where you draw the box changes the answer. It’s nearly impossible to reproduce, because none of those clicks are written down anywhere. And it’s easy to get quietly wrong: quantify a saturated band, forget to subtract background, or normalize to a housekeeping protein that isn’t actually constant, and the number looks fine while the conclusion is broken. The vendor densitometry packages that fix some of this are locked to a specific imager and cost hundreds to thousands of dollars.
So we built VoilaBlot.
Upload a scan from any imager — Bio-Rad ChemiDoc, Thermo iBright, LI-COR Odyssey, Azure, Amersham, a film scan, even a phone photo. A guided workflow walks you lane by lane; AI-assisted band detection places the boxes so you don’t; and 16-bit precision means the quantification runs on the full dynamic range your imager captured, not a flattened 8-bit preview. Get a densitometry table, a publication-ready figure, and an honest methods paragraph you can paste straight into your manuscript.
Everything runs in your browser. Your blots never touch our servers. No installation, no Windows requirement, no imager lock-in.
Raw blot in. Defensible numbers out. Voila.
The Mission
Western blots are one of the most-published and most-criticized figures in biology, and the gap between the two is usually the quantification. Our mission is rigorous, reproducible, publication-grade blot quantification that runs in any browser and works with any imager — with the QC checks and honest methods reporting that reviewers and journals increasingly ask for. Not a black box that hands you a prettier bar chart, but a tool that shows its work: which pixels it measured, how it subtracted background, what it normalized to, and where the result should be trusted less.
How We’re Different
VoilaBlot isn’t a general-purpose image editor with a rectangle tool bolted on. It’s built end to end for quantitative westerns:
- A guided workflow — upload, prepare, define lanes and bands, analyze, and export — so nothing gets skipped and every analysis follows the same defensible steps.
- AI-assisted band detection. Click one band and it finds the same band in every lane, placing ROIs for you instead of leaving you to draw dozens by hand.
- 16-bit precision. Quantification runs on the original 16-bit data — 65,536 intensity levels, not the 256 of an 8-bit export — a well-known prerequisite for reliable densitometry.
- Built-in quality control. Automated checks for pixel saturation, loading-control consistency, background uniformity, dynamic range, and signal-to-noise flag the exact problems that silently break blot quantification.
- Auto-generated Methods text. A ready-to-paste methods paragraph documents every setting and appends any QC warnings, so what you report matches what the tool actually did.
For the full step-by-step methodology and primary-literature citations behind each of these, see our Methods page.
Privacy by Design
VoilaBlot was built by scientists who understand that unpublished data is sensitive. Densitometry, background subtraction, normalization, and QC all run entirely in your browser — your blot images never touch our servers. We use privacy-respecting analytics, because you shouldn’t have to choose between good tools and keeping your data yours.
The VoilaScience Family
VoilaBlot is part of VoilaScience — a suite of scientific data-analysis tools that just work. Its siblings are VoilaPCR for automated qPCR analysis and VoilaAssay for standard-curve and ELISA quantification. We believe researchers should spend their time on hypotheses, not formatting — and more tools are on the way.
Cite VoilaBlot
If you use VoilaBlot in published research, please cite:
APA
VoilaBlot (2026). VoilaBlot: Web-based western blot densitometry and quantification. https://voilablot.com
Methods section
Western blot band intensities were quantified using VoilaBlot (https://voilablot.com), a browser-based platform for densitometry, normalization, and automated quality control.
Contact
Questions, feedback, a paper we should cite, or partnership inquiries — we’d love to hear from you.
hello@voilascience.comWarmly,
Team VoilaScience