Older Description#

Plate Reader data Parser (and some analysis). To parse:

1) **Tecan** data files, containing single fluorescence values  (scalar).
   Data are exported (from Tecan) into .xls file, then converted to csv
   (e.g. soffice --convert-to csv -outdir tmp *.xls).

   Each **Labelblock** contains 96 single (float) values,
   i.e. excitation emission filter-based fluorescence.

2) **EnSpire** data files, containing spectra of various types e.g.
   excitation, emission, absorption and possibly at different temperatures.
   [Well, Sample,   MeasA:Result,   MeasA:WavelengthExc,  MeasA:WavelengthEms]

OOA#

The program need to be able to:

read csv file(s) and an experimental_note file

fill Data into a list (DB in future?)

group Data into Titration (in which a single measurement_condition is changed)

fit Titration with the proper Fitting_function and obtain: fitting_params, fitting_quality.

Note

Also a well may contain more than a single measure under the same measurement_conditions (ex400nm and ex485nm), which could be fitted globally. Temperature scan is when temperature in measurement_conditions is changed; here it might be necessary to correct pH_value accordingly (with temperature changes).

OOD#

Data contains:

a (tuple) of values or a (tuple) of spectra

metadata describing the data type

measurement_conditions like pH_value, Cl_conc, temperature

sample_information like mutant_name, prep_id.

$class Data{ + meas_conditions + sample_info + data_type + data: tuple } class meas_conditions { + ph + cl + temp } class sample_info { + mutant + prep ID } Data o--- meas_conditions Data o-- sample_info$