MammoMatrix with Team Freiburg

At the iGEM meetup in Munich, members of both of our teams realized that our projects share a common objective: Analyzing 2-dimensional, visual signals. For the next months we stayed in contact and developed a concept to encode information in 384-well plates in the form of datamatrix codes.

On September 2^nd, Michael spontaneously took a train to Freiburg and we meet face-to-face for several hours to exchange details on our cooperation and general iGEM experiences.

Spontaneous group photo Freíburg iGEMers and Michael (right) meeting to discuss our cooperation

Data Matrix Masks for illumination

We decided to use masks to locally induce the cells in 384-well plates in a datamatrix pattern. To enable us to quickly design masks for different data to be encoded, we wrote a software to easily generate SVG-files for the lasercutter.

Making a datamatrix mask Upon entering a string, the software predicts if the datamatrix will fit into a 384-well plate. The SVG file can then be saved and used for lasercutting the mask.

For the first experiments we cut two different datamatrix patterns in a polypropylen foil. The masks can be used to cover the plates from the top, or from the bottom.