tifffile 2019.7.26.2-foss-2019b-Python-3.7.4

Tifffile is a Python library to: 1. store numpy arrays in TIFF (Tagged Image File Format) files, and 2. read image and metadata from TIFF-like files used in bioimaging.

Accessing tifffile 2019.7.26.2-foss-2019b-Python-3.7.4

To load the module for tifffile 2019.7.26.2-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load tifffile/2019.7.26.2-foss-2019b-Python-3.7.4

There is a GPU enabled version of this module: tifffile 2019.7.26.2-fosscuda-2019b-Python-3.7.4

BEAR Apps Version




The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.


  • imagecodecs-lite-2019.12.3
  • tifffile 2019.7.26.2

More Information

For more information visit the tifffile website.


This version of tifffile has a direct dependency on: foss/2019b matplotlib/3.1.1-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4

Required By

This version of tifffile is a direct dependent of: n2v/0.1.11-foss-2019b-Python-3.7.4 PPN2V/4e822aa-foss-2019b-Python-3.7.4

Other Versions

These versions of tifffile are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 5th May 2020