Inplace Import of CV7000S
Posted: Tue Mar 12, 2019 2:35 pm
Sebastien -
This is a follow-up to an earlier thread. Furthermore, per Sebastien's suggestion, I'm moving this PM to public forum for future reference.
Looks like the latest version of Bioformats (6.0) started supporting import datasets acquired on Yokogawa CellVoyager CV7000/CV7000S. Thanks to all the OMERO/Bioformats developers for implementing the importer for this High-throughput microscope.
Is there a way to test this new functionality in OMERO.Server for our datasets from CV7000S?
We've tired the latest OMERO.Server docker image (release 5.4.10) from docker hub. But based on the import logs, it looks like the latest OMERO.Server (rel. 5.4.10) is using Bioformats 5.9.2.
My question(s):
1) Could we just upgrade ONLY the "bioformats" component on the OMERO.Server 5.4.10 to the latest version to test out the functionality? Looks like the user in this thread managed to test OMERO.Server 5.4.9 with Bioformats 6.0. Any pointers?
2) Is there a docker build for OMERO.Server (version 5.5.0) that is in "Alpha/Beta/RC" phase that we can use to test out the functionality?
3) We have also noticed some (unexpected??) behavior while testing inplace import feature. Specifically, if we use the following command to do a inplace import of a "source" folder OMERO.Server does NOT complain/check for "duplication" of the source folder. That is, we can import the "source" folder multiple times. What are we doing wrong? Is this somewhat related to thread?
Here is the relevant part of the code (dockerized OMERO.Server) for inplace import that we used.
Thank you.
Regards,
Prabhakar (Reddy) Gudla
High-throughput Imaging Facility
Laboratory of Receptor Biology and Gene Expression
Center for Cancer Research, National Cancer Institute
National Institutes of Health, Rockville, MD USA
This is a follow-up to an earlier thread. Furthermore, per Sebastien's suggestion, I'm moving this PM to public forum for future reference.
Looks like the latest version of Bioformats (6.0) started supporting import datasets acquired on Yokogawa CellVoyager CV7000/CV7000S. Thanks to all the OMERO/Bioformats developers for implementing the importer for this High-throughput microscope.
Is there a way to test this new functionality in OMERO.Server for our datasets from CV7000S?
We've tired the latest OMERO.Server docker image (release 5.4.10) from docker hub. But based on the import logs, it looks like the latest OMERO.Server (rel. 5.4.10) is using Bioformats 5.9.2.
My question(s):
1) Could we just upgrade ONLY the "bioformats" component on the OMERO.Server 5.4.10 to the latest version to test out the functionality? Looks like the user in this thread managed to test OMERO.Server 5.4.9 with Bioformats 6.0. Any pointers?
2) Is there a docker build for OMERO.Server (version 5.5.0) that is in "Alpha/Beta/RC" phase that we can use to test out the functionality?
3) We have also noticed some (unexpected??) behavior while testing inplace import feature. Specifically, if we use the following command to do a inplace import of a "source" folder OMERO.Server does NOT complain/check for "duplication" of the source folder. That is, we can import the "source" folder multiple times. What are we doing wrong? Is this somewhat related to thread?
Here is the relevant part of the code (dockerized OMERO.Server) for inplace import that we used.
- Code: Select all
# Environment variable have been substituted with "dummy" values.
OMERO="/opt/omero/server/OMERO.server/bin/omero"
PREFIX="omero-5_4_10"
OMERO_PI_LAB="G1"
OMERO_PI_NAME="PI ABC"
OMERO_PI_USERNAME="piuname"
OMERO_USER_NAME="USER ABC"
OMERO_USER_USERNAME="useruname"
OMERO_EXPERIMENT_NAME="Exp_031"
IMPORT_PATH="/OMERO/inplace/PI_ABC/User_ABC/Exp_031_20171206_114408/"
USER_PATH="User_ABC"
docker exec $PREFIX-server $OMERO import -s localhost -p 4064 -g $OMERO_PI_LAB -u $OMERO_USER_USERNAME -w $OMERO_USER_USERNAME --skip all -- --no-stats -- --auto-close -- --transfer=ln_s $IMPORT_PATH -- -T "regex:+name:^.*${USERPATH}/(?<Container1>[^/]*)/.*"
Thank you.
Regards,
Prabhakar (Reddy) Gudla
High-throughput Imaging Facility
Laboratory of Receptor Biology and Gene Expression
Center for Cancer Research, National Cancer Institute
National Institutes of Health, Rockville, MD USA