Simple reading and writing classes for tiled tiffs using Bioformats.
Project description
BioFormats Input/Output utility (bfio)
This tool is a simplified but powerful interface to the Bioformats java library. It makes use of Cell Profilers python-bioformats package to access the Bioformats library. One of the issues with using the python-bioformats
package is reading and writing large image planes (>2GB). The challenge lies in the way Bioformats reads and writes large image planes, using an int
value to index the file. To do get around this, files can be read or written in chunks and the classes provided in bfio
handle this automatically. The BioWriter
class in this package only writes files in the .ome.tif
format, and automatically sets the tile sizes to 1024.
This tool is currently not on any public pip repositories, but can be installed by cloning this repository and installing with pip.
Universal Container Components
All containers contain the follow components:
- Python 3.6
- openjdk-8
- numpy (version 1.18.1)
- javabridge (version 1.0.18)
- python-bioformats (version 1.5.2)
- bfio (version 1.0.8)
- loci-tools.jar (Version 6.5.0)
Containers
labshare/polus-bfio-util:1.0.8 & labshare/polus-bfio-util:1.0.8-alpine
This container is built on Alpine Linux. This is the smallest bfio container, but also the most difficult to install additional requirements on.
labshare/polus-bfio-util:1.0.8-slim-buster
This container is built on a stripped down version of Debian Buster. This container is larger than the alpine
version, but easier to install new Python packages on.
labshare/polus-bfio-util:1.0.8-tensorflow
This container is built on Debian Buster and includes Tensorflow 2.1.0 and all necessary GPU drivers to run Tensorflow on an NVIDIA graphics card.
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