Skip to main content

Create images from photon lists generated by a multiscaler.

Project description

Create images from photon lists generated by a multiscaler.

  • Free software: BSD license

Installation

At the command line:

conda install numba
conda install tifffile -c conda-forge
pip install pysight

Development

To run the all tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows
set PYTEST_ADDOPTS=--cov-append
tox
Other
PYTEST_ADDOPTS=--cov-append tox

Changelog

0.1.0 (2017-02-27)

  • First release on PyPI.

0.1.1 (2017-02-27)

  • Bug fixes during installation of Numba.
  • Added the run() method for main_multiscaler_readout.

0.1.2 (2017-02-27)

  • Includes tifffile and minor improvements.

0.1.3 (2017-02-28)

  • Changed IO from .read() to .readlines() for better Linux compatibility.
  • .tif is now saved frame-by-frame to save memory, and the method was renamed to create_tif().

0.1.4 (2017-02-28)

  • Frames are now generated with a generator.
  • Fix to installation problems of previous version.

0.1.5 (2017-02-28)

  • Single-lined frames are now supported.

0.1.6 (2017-02-28)

  • More tests coverage.
  • Enforced a few types checks.

0.1.7 (2017-03-01)

  • Potential fix to pip install issues.
  • Start of TAG lens interpolation support.

0.2.0 (2017-03-05)

  • Support for TAG lens added - phase interpolation and image display. Note: The algorithm currently assumes that the pulse is triggered at the zero-phase of the TAG lens.
  • pip installation fixed by requiring Numba as a prerequisite.
  • Number of pixels in the “Frame” direction (x) supersedes the number of frames as listed by the user.
  • Due to massive changes, one test is currently broken.

0.3.0 (2017-03-07)

  • Added method create_array to Movie() that returns a deque containing the raw data generated by the np.histogram function, for visualization and analysis purposes.
  • Added method create_single_volume to Movie() that sums all stacks into a single array.
  • Fixed bugs in tag_tools, mainly in verify_periodicity().
  • Allows for more elaborate user inputs, requiring to choose which type of output you wish for.
  • Basic FLIM support.

0.3.1 (2017-03-07)

  • Tiffs are now saved untiled. Depth axis is x-axis.
  • Installation should run smoothly if following the instructions.

Project details


Release history Release notifications | RSS feed

This version

0.3.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pysight, version 0.3.1
Filename, size File type Python version Upload date Hashes
Filename, size pysight-0.3.1-cp36-cp36m-win_amd64.whl (414.3 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size pysight-0.3.1.tar.gz (21.3 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page