Data structure

Internally, all data is stored in a MATLAB structure array, named WR. This data structure is written in the .mat file when saving. The same data can be exported to XML.

The structure contains the following data:

That is, you can analyze your data, store them in a file, and then reload the latter and find the modifications you made.

In case you want to use the data in MATLAB (e.g., plot some specific graphs), we show below the WR structure used. We use the following MATLAB conventions:

WR struct

WR
  .experiment_info
                  .author
                  .notebook_page
                  .description
                  .initial_time
                  .[programs]
                             .name
                             .([headers])
                                         .name
                                         .value
                             .[measures]
                             .type
  .global_parameters
                    .plasmid_copies
                    .RFU_default_gamma
                    .RLU_default_gamma
                    .protein_default_gamma
                    .absorbance_detection_limit
  .[wells]
          .name
          .sample_type
          .[measure_type]                                  // may be 'Absorbance', 'RFU' or 'RLU'
                         .measure_list                     // list of #measures# names
                         .#measures#                       // name of the measure
                                    .is_background
                                    .[time]
                                    .[original_signal]
                                    .([corrected_signal])  //only if not a background measure
                                    .[valid_indices]
                                    .background_correction //only if not a background measure
                                                          .reference_well
                                                          .time_shift
                                                          .growth_difference
                                    .fit
                                        .spline_type       //always 'pp2sp'
                                        .parameter