cor

PicoQuant .cor files

picoquantio.cor.load_cor(path: Union[Path, str]) → Tuple[Dict[str, str], DataFrame]

Read data from a PicoQuant .cor file.

This format consists of a metadata header, a blank line, then a whitespace-delimited data header followed by a data array:

TTTR Correlator Export
PicoHarp Software version 3.0.0.3 format version 3.0
Raw data: c:\users\baker lab 432-a\desktop\grant fcs\default_013.ptu
Recorded: 16/12/22 17:40:13
Mode: T2
Routing Mask A: 0 1 0 0 0
Routing Mask B: 1 0 0 0 0
Start time [s]: 0.000000
Time span [s]: 7.545534
Counts A: 382989
Counts B: 523316
Tau resolution [s]: 0.00000002500000

 taustep       tau/s        G(A,A)    G(B,B)    G(A,B)
      6     0.0000001500    0.8375    0.3556    0.1708
      7     0.0000001750    0.6503    0.2652    0.1445
      9     0.0000002250    0.5680    0.2173    0.1264
     11     0.0000002750    0.4836    0.1594    0.1614
     13     0.0000003250    0.3241    0.1528    0.1486
     15     0.0000003750    0.2819    0.1236    0.1641
     17     0.0000004250    0.3591    0.1467    0.1102
[...]

Parameters

path – the path to the cor file

Returns

a tuple with two elements: 1. dict of metadata 2. pd.DataFrame with the correlation data