Western blot densitometry — Uploads a blot image (PNG/JPG), then (1) auto-detects lanes from vertical-profile valleys, (2) subtracts background via the rolling-ball algorithm (adjustable radius), and (3) integrates pixel intensity over each band ROI via the Canvas API. A web-based simplified version of ImageJ Gel Analyzer.

(1) Quantify Western blot results (target / loading control ratio) (2) Compare knockdown / overexpression efficiency (3) Track band intensity in time-course / dose-dependent experiments (4) Fast densitometry where ImageJ install is unavailable

① Upload image (PNG / JPG / WebP — 8-bit grayscale recommended, RGB auto-converted) ② Lane detection runs automatically → shows detected lane count and positions • Manually adjust count if needed ③ Rolling Ball radius slider (10–100 px, default 50) → background subtraction ④ Band ROI auto-set per lane (max-intensity region) — manual adjust available ⑤ Output: • Per-lane raw intensity, BG-subtracted intensity • Bar chart of lane intensities • Pick reference lane (e.g., GAPDH) for normalization • CSV export Note: saturated bands degrade accuracy — use properly exposed images.

Example) p-AKT / Total AKT phosphorylation quantification → Upload 6-lane image (Control, 5 / 10 / 30 / 60 / 120 min insulin) → Auto-detect 6 lanes via vertical-profile valleys → Rolling ball radius 50 px → background subtracted → Lane intensities (raw): 850, 1240, 2150, 3050, 2980, 2710 → Normalize to Total AKT → fold change 1.00, 1.46, 2.53, 3.59, 3.51, 3.19 → Peak phosphorylation at 30 min