Blot images → automatic band detection & quantification → presentation/publication figure, PPT and Methods text
Free · runs entirely in your browser
💾 ProjectSave your whole analysis as one file to continue or revise it later. (Saved only on your computer.)
Image correction — tilt · rotate · crop
Display brightness · contrast — screen and figure only, never quantification
Original
⚙ Fields
Ctrl + wheel: zoom · right-click (or Space / middle button) + drag: pan · Ctrl+Z: undo
Drop western blot images (PNG, JPG, TIFF) here. You can add several images at once, e.g. a different exposure for each protein.
Proteins (band rows)
● Regions are drawn for the selected protein. The protein with the Loading control role is used to normalize the others.
Progress
Lane names · treatments
⚡ Fill in from your experimental design
Just list what changed — cell line, treatment (drug · inhibitor), time — and the lane names and the +/− condition table are filled in for you. Separate values with commas.
Quick fill:
Paste labels from Excel / ImageJ
Replicate statistics pool lanes with the same name.
Proteins
Experimental conditions — used in the PPT and Methods text
Results at a glance
Quantification method
Usually the untreated control lane is the reference (= 1). A lane named Control, Vehicle, etc. is picked automatically.
Background subtraction method
Paste values quantified in Image Lab, ImageJ, etc. First row = headers (Lane, protein names…), first column = lane names; the first lane is the reference (= 1.0).
For images with bright bands (fluorescence / raw ECL), turn on "Bright bands" in the step-1 image list. It is guessed automatically.
Results — this blot
Detailed table (IntDen · ratio · warnings)
Protein
Lane
Target IntDen
Control IntDen
Ratio
Relative
Replicate statistics (biological replicates)
Detailed table (mean · SD · SEM · p)
Protein
Lane
n
Mean
SD
SEM
p (vs reference)
How are statistics calculated?
n is the number of independently repeated blots (not lanes on the same blot). At least 3 are recommended for statistics. SD shows how spread out the values are (preferred by most journals); SEM shows how precise the mean is and gives shorter bars.
Values normalized to the reference lane (= 1.0) in each blot are pooled by lane name. p-values: one-sample t-test (H₀: mean = 1, two-sided), computed when n ≥ 2. * p<0.05, ** p<0.01, *** p<0.001
Save experiments done on different days and load them later to analyze them together.
Figure preview
💡 In the preview, drag text to move it and double-click to edit it (leave empty to remove).
✏️ Edit figure
Lane order · visibility (blots + chart)
Reordering or hiding lanes adds vertical dividing lines where lanes are joined (journal requirement).
Size · text
Band strips
Chart style
Axis · titles
Colors
Methods & figure legend (auto-generated)
Submission checklist
The PPT contains ① the figure ② quantification chart and table ③ uncropped original blots with regions marked (for journal submission) ④ experimental conditions and Methods.