Comments (3)
You should be able to open you file(s) with the Windows tttrlib build in the conda channel (minimum required version 0.0.18)
conda install -c tpeulen/label/nightly tttrlib
as follows
import tttrlib
import pylab as p
ptu_file = "AF555-WGA-1.ptu"
data = tttrlib.TTTR(ptu_file, 'PTU')
reading_parameter = {
"marker_frame_start": [4],
"marker_line_start": 1,
"marker_line_stop": 2,
"marker_event_type": 15,
"reading_routine": 'SP8',
"skip_before_first_frame_marker": True
}
clsm = tttrlib.CLSMImage(data, **reading_parameter)
clsm.fill_pixels(channels=[1], tttr_data=data)
print(clsm.intensity.sum())
p.imshow(clsm.intensity.sum(axis=0))
p.show()
I hope that helps. Thanks a lot for providing a file. This helps to improve the library.
from tttrlib.
It is possible that either
- the frame marker are not correct (there is no real standard).
- or there is sth wrong with the version you are using
This cannot be a memory issue as on my 8GB machine I can work with 500MB files.
For development/testing I only had/have a very limited number of test files. You can post a link to file that I can use to fix this issue here. Alternatively you can send me a file/link to my email address ([email protected]). In either case I will fix this issue over the weekend.
from tttrlib.
Thank you. Sent an email with the link.
from tttrlib.
Related Issues (10)
- Travis fails to build the daily build on macOS
- get_phasor_image is not working? HOT 5
- tttr.intensity_trace() crashes kernel HOT 3
- Fail to load large PTU file HOT 1
- License clarification HOT 1
- HDF5 not linking correctly in Windows when using hdf>=1.8.16
- Add support for MultiHarp 150 and the new PicoHarp 330 ptu format HOT 1
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from tttrlib.