How VoilaBlot works

Drop a TIFF (including 16-bit), PNG, or JPEG straight from any imager — Bio-Rad ChemiDoc, LI-COR Odyssey, Amersham, Azure, a film scan, even a phone photo. Nothing installs and nothing uploads to a server for processing: it opens right in your browser.

For quantitative work, a 16-bit raw scan exported directly from the imager is ideal — it preserves the full dynamic range densitometry depends on. No scan handy? Hit Try with demo data to load a real published blot and follow along.

Adjust display brightness and contrast so you can actually see faint bands, and rotate or flip the membrane so the lanes sit square.

These are display-only adjustments. Quantification always runs against the original, untouched pixel data — brightening the view never changes a single number in your results. That separation is what keeps the analysis honest and reproducible.

Click one band and ✨ AI boxes that same band across every lane — a bounding box on the band you clicked plus the matching band in each sample lane. Prefer to do it yourself? Draw lanes and bands by hand directly on the canvas.

Either way, everything stays editable. Drag a corner, nudge a box, add a lane, or delete one — with undo and redo if you overshoot. The detection is a starting point, never a commitment.

Pick a background-subtraction method to strip the membrane signal each band sits on:

• Local minimum — baseline from the pixels just outside each band; the sensible default.
• Median — the median of non-band pixels in the lane, for backgrounds that are flat within a lane.
• Gradient — a sloped linear baseline for uneven or smiling membranes.

Then choose a loading-control normalization — divide each target by a housekeeping band (ACTB, GAPDH, vinculin, tubulin…) measured in the same lane — to correct for lane-to-lane differences in loading.

Out comes background-subtracted, normalized quantification you can trust — plus everything you need to put it in a paper:

• A QC report flagging pixel saturation, loading-control consistency, signal-to-noise, and dynamic range — the pitfalls that quietly break densitometry.
• A publication-ready bar chart with journal presets, so it looks right for your target venue out of the box.
• Exports — 300 DPI PNG and SVG, GraphPad Prism, and CSV.
• Auto-generated Methods text and a citation, so the write-up matches exactly what the tool did.