TotalLab provides SameSpots and SpotMap for your 2D gel electrophoresis needs.

2D Gel Image Analysis

2D gel electrophoresis (2-DE) is a key technique for molecular biology. With technology improvements 2-DE has become accessible, affordable and easy to implement. The images you capture from 2-DE gels are quantitative maps of intact proteins that allow you to characterise samples by:

  • Relative protein expression changes based on experimental changes
  • 2D Western blotting patterns compared to 2-DE protein gels
  • pI and molecular weight estimations
  • Protein-protein interactions
  • De novo sequencing and identification for organisms with incomplete genome sequences
  • Post-translational modifications and protein isoforms


Fast, easy to use and reproducible differential protein expression analysis. It is simple to install and apply to support your research in:

  • Proteomics
  • Biomarker Discovery
  • Cancer Research
  • Neuroscience
  • Food Research
  • Evolutionary Biology
  • Population Studies
  • Environmental Toxicology
  • Agricultural Research
  • Microbiology
  • Molecular Biology


Easy-to-use and novel software specifically for analysing biologic product characterisation, process development/optimisation and HCP antibody assay & impurity profiling. Image alignment allows the benefits of a DIGE-like approach without the additional cost or expertise required to use this technique.


Which 2D image analysis software do I need?


SameSpots SpotMap
Experiment Type Differential protein expression analysis of two or more groups of replicate 2D gels Comparing gels and Western blots to allow spot counting, measuring simple volume changes and reporting relative coverage
Image QC/import Checks images before use for good quality. Allows some image editing Checks images before use for good quality. Allows image editing including scaling for different size image capture. Useful if Western blots imaged using a different system
Image Alignment

Pixel level alignment to remove positional variation between images.
Our unique approach that makes your 2D gel analysis objective, simple and accurate

Spot Detection Spots detected in same positions on all gels A single spot map is created to identify the position of all spots across all images.
Matching of Spots between images 100% matching and no missing values. Very good for statistical analysis of differences across groups The same spot map is applied to all images where spots are categorised as present or absent to allow calculation of percentage coverage.
Reporting Spots are reported using p-values and we are looking for spots that vary the most between experimental groups. Multivariate statistical analysis with no missing values due to alignment and detection approach Report the percentage coverage and number of spots present for each image compared to a base image. 1 vs 1 image comparisons to identify common and unique spots and comparisons of an area of the spot map are possible. All results and parameters are easily exported from the software.



Perfect for:

  • Reducing time and subjectivity of your 2-DE image analysis
  • Analysing 2D gels with any type of staining including DIGE and secondary protein stains.
  • Increasing sensitivity for measuring low level expression changes in your experiment
  • Eliminate missing values in your data for increased statistical power
  • Visualisation and quantification of your sample preparation, gel running and imaging quality
  • Making discoveries that are real, not just the result of biological variation.




  • SameSpots applies pixel level alignment proven to generate reproducible results.
  • 100% spot matching all of the time, there is no need to do any match editing.
  • SameSpots makes gel analysis more efficient, so you can run enough replicates.
  • Multivariate statistical tools included as well as univariate measurements and export to R function.


SameSpots is considerably more user-friendly and straight-forward. Therefore, the analysis is 4-times faster compared to the competitor software. Dr Katja Schlink

Research Centre for Agriculture and Forestry Laimburg, Italy


Perfect for:

  • Accurate comparison of total protein stained 2D gels with 2D Western blots and reporting of relative coverage
  • Helps to meet regulatory requirements by providing additional data on control of biologic quality, potency and safety
  • An orthogonal approach to 1D gel and Mass spectrometry.
  • Process development and optimisation – allowing for better process decisions to be made to avoid additional costs and delays to production
  • Product characterisation with any changes to the product (including post-translational modifications) detected
  • HCP antibody assay and impurity profiling, essential for generating process and cell-line specific antibodies




    • SpotMap is a single separate analysis tool, not a work around within existing differential expression analysis software.
    • Overcomes the problems of using other software packages, such as:
      • Experiment set-up limitations
      • Trying to compare different spot outlines between blots and gels
    • Compatible with file formats from all the common image capture devices.
    • Use DIGE, flourometric, chemiluminescent or colorimetric stains in the same simple workflow.
    • Checks images quality before analysis with image editing including scaling for different size image capture.
    • Compatible with latest Windows operating systems
We’ve been looking at different solutions for three months now and from what we just saw [demonstrated] this is already the best Major pharmaceutical company following a first demo of SpotMap

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