SDS-PAGE Densitometry Graphs
Budget: ₹1,500 – ₹12,500 INR
I have a set of pictures from SDS-PAGE gels showing several protein samples run under different conditions. Your task is to turn those images into meaningful numbers and clear visualisations.
The workflow I expect is straightforward: use any suitable image-analysis tool (ImageJ, GelAnalyzer, Python with scikit-image, R, etc.) to measure band intensity, convert that intensity to relative or absolute abundance, and then plot the results so trends across my sample series are immediately obvious. Because my only data source is the pictures themselves, all quantification must start with precise lane detection, background subtraction, and calibration against the marker or a reference lane that is present on each gel.
Once the bands are quantified, graph the findings—bar, line, or scatter plots depending on what best represents the data. High-resolution output in both PNG and the original editable spreadsheet or script file will let me adjust or reproduce the figures later. Feel free to include a concise methods note that states the parameters you used (e.g., integration limits, smoothing, normalisation).
Deliverables:
• A spreadsheet (Excel or CSV) with raw and normalised intensity values
• Publication-ready graphs (PNG; if you prefer, also supply PDF)
• The analysis script or macro so the process is completely reproducible
• A short write-up of the key steps you followed
Accuracy and reproducibility matter more to me than turnaround speed, but if you have an efficient pipeline in place, let me know.
The workflow I expect is straightforward: use any suitable image-analysis tool (ImageJ, GelAnalyzer, Python with scikit-image, R, etc.) to measure band intensity, convert that intensity to relative or absolute abundance, and then plot the results so trends across my sample series are immediately obvious. Because my only data source is the pictures themselves, all quantification must start with precise lane detection, background subtraction, and calibration against the marker or a reference lane that is present on each gel.
Once the bands are quantified, graph the findings—bar, line, or scatter plots depending on what best represents the data. High-resolution output in both PNG and the original editable spreadsheet or script file will let me adjust or reproduce the figures later. Feel free to include a concise methods note that states the parameters you used (e.g., integration limits, smoothing, normalisation).
Deliverables:
• A spreadsheet (Excel or CSV) with raw and normalised intensity values
• Publication-ready graphs (PNG; if you prefer, also supply PDF)
• The analysis script or macro so the process is completely reproducible
• A short write-up of the key steps you followed
Accuracy and reproducibility matter more to me than turnaround speed, but if you have an efficient pipeline in place, let me know.