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2022-11-01

  • Expanded the parsing of the parameter file specified via -params-file. This allows for the entire workflow/options/modules parameter structure to be pasted directly inside the "Pipeline parameters" field of a Nextflow Tower launchpad.

2022-10-28

  • Added a background subtraction module. The module can be turned on by setting the background workflow option to true:
workflow:
  background: true

2022-10-26

  • Added cellpose. The module can now be selected as one of the segmentation workflow settings:
workflow:
  segmentation: cellpose

2022-10-19

  • Added a roadie script for generating image pyramids. Example usage:

nextflow run labsyspharm/mcmicro/roadie.nf --in simple.tif --out pyramid.ome.tif

2022-10-01

  • Changed the order of tokens in quantification output to make it easier to match filenames against other intermediate.

Old pattern: unmicst-exemplar-001_cell.csv

New pattern: exemplar-001--unmicst_cell.csv

The new pattern can now be easily matched against the original exemplar-001.ome.tif by cutting the feature table filename at --.

  • Added modules/template.nf documenting how to add new modules to MCMICRO.

2022-09-08

  • Added a segmentation-recyze parameter to the workflow: section. If set to true, MCMICRO will reduce the input image to the channels specified in segmentation-channel prior to passing it to the segmentation modules. This can be useful for reducing the memory footprint for modules like Mesmer, which read the entire input image into memory.

2022-08-19

  • [registration] Updated Ashlar to v1.17.0.
    • Improve registration accuracy in certain tile layout conditions.
    • Fix support for --plates option for performing registration on multi-well plate acquisitions. (This option may not work directly with downstream modules yet)

2022-07-12

  • Introduced a YAML pattern for parameters with three top-level namespaces:
    • workspace - pipeline-level parameters controlling overall behavior of MCMICRO
    • options - module-level parameters that will be forwarded to individual tools; the entries are matched against name fields in modules
    • modules - module specifications, such as container name and version, whether the module uses 0-based or 1-based indexing, and whether the module requires watershed.

An example params.yml may look

workflow:
  start-at: registration
  stop-at: quantification
  viz: true
  segmentation-channel: 5
options:
  ashlar: -m 15
  s3seg: --logSigma 45 300
modules:
  watershed:
    version: 1.4.0-large

which a user would supply to the pipeline with

nextflow run labsyspharm/mcmicro --in exemplar-001 --params params.yml
  • The new YAML pattern is backwards-compatible
    • Users can still overwrite individual workflow parameters on the command-line (e.g., --start-at segmentation)
    • Users can also overwrite module-specific options with --[module name]-opts, as before
  • Default values for all namespaces can be found in config/defaults.yml
  • Pipeline will now verify all parameters and throw an error when encountering an unrecognized parameters
  • Introduced the following name changes to reduce confusion:
    • probability-maps is now segmentation (e.g., --start-at segmentation --segmentation mesmer,unmicst)
    • segmentation is now watershed (e.g., --stop-at watershed)
    • cell-states is now downstream (e.g., --start-at downstream --downstream scimap)

2022-06-06

  • Cleaned up provenance filenames, making their more robust across operating systems
  • Added Auto-Minerva for automatic visualuzation generation. Run with the new --viz flag:
nextflow run labsyspharm/mcmicro --in exemplar-001/ --stop-at registration --viz

Visualization is written to exemplar-001/viz. A separate subdirectory will be created for each OME-TIFF in the registration/ folder.

2022-06-02

  • Consolidated Roadie scripts
  • Dynamic range calculation is now folded inside Auto-minerva story generation and can be executed both inside MCMICRO with
nextflow run labsyspharm/mcmicro --in exemplar-001/ --stop-at registration --story

and as a standalone Roadie script with

nextflow run labsyspharm/mcmicro/roadie.nf --do story --in exemplar-001.ome.tif

2022-05-24

  • Adding single channel image support and improving logging in recyze

2022-05-23

  • Module specs have been migrated to a stand-alone file in standard YAML format.
    • Default specs can be overwritten with the new --module myspecs.yml parameter. In this example, myspecs.yml only needs to specify the fields being overwritten; all other values will stay at default.
    • MCMICRO will output the module specs used during a run to a new qc/modules.yml file to maintain provenance. The file can be fed back to the pipeline with --module, closing the reproducibility loop.
  • Introduced a new --segmentation-channel parameter, which provides synchronized --channel control over all segmentation modules
    • MCMICRO will forward the value to every segmentation module, properly accounting for 0-based and 1-based indexing.
    • When supplying multiple channels, enclose them with single quotes (e.g., --segmentation-channel '1 5'). Only the first value will be passed to s3seg.
  • Cleaned up what gets written to qc/params.yml, ensuring that the file can be reused with MCMICRO via -params-file.

2022-05-20

  • Added channel and pixel cropping tool recyze to roadie. View instructions with:
nextflow run labsyspharm/mcmicro/roadie.nf --help

Example:

nextflow run labsyspharm/mcmicro/roadie.nf --do recyze --in-path exemplar-001.ome.tif --x 0 --y 0 --w 1024 --h 1024 --channels 1 2 4

To process multiple files in parallel, file masks have to be enclosed by single quotes:

nextflow run labsyspharm/mcmicro/roadie.nf --do recyze --in-path '*.ome.tif' --x 0 --y 0 --w 1024 --h 1024 --channels 1 2 4

2022-05-07

  • Docker containers are now always executed as root, which solves the permission problem for BaSiC illumination
  • Added a new CI test for illumination
  • Cleaned up CI test definitions

2022-04-29

  • [registration] Updated Ashlar to v1.15.3.
    • Slightly non-square pixels (relative difference between width and height of <= 0.0001) are now tolerated.

2022-04-27

  • [registration] Updated Ashlar to v1.15.2.
    • OME-TIFF output now conforms to the official OME-TIFF pyramid spec.
    • Memory usage is dramatically reduced -- registration now only requires enough memory to hold all tiles in the first cycle's reference channel plus a fixed overhead of about 400 MB.

2022-04-22

  • By default, MCMICRO was copying qc/* files from work directories to the project directory. This was creating unnecessary duplication of potentially large files. The new --qc-files option allows users to copy, move or symlink all QC files, providing more flexibility. Example:
nextflow run labsyspharm/mcmicro --in exemplar-001 --qc-files move

2022-04-21

  • Added a script for automatically detecting dynamic range of the signal in each channel. The script is not executed by default but can be triggered with --dynrange. For example,
nextflow run labsyspharm/mcmicro --in exemplar-001 --dynrange

The output will be written to qc/dynrange.

2022-03-31

  • Added exemplar-003 for spot detection

2022-03-28

  • Complete rework of the mcmicro.org

2022-03-04

  • The pipeline now correctly carries through image names with . in them, e.g., slide0.ROI7.ome.tif.

2022-03-01

  • [illumination] CZI files are now loaded correctly.

2022-02-24

  • Added more flexibility to exemplar.nf, which allows for downloading any contiguous set of cycles. For more information, see
nextflow run labsyspharm/mcmicro/exemplar.nf --help

2022-02-22

  • [s3seg] Fixed an bug that caused the module to crash when generating pyramids for images of smaller size.

2022-02-21

  • [UnMicst] Updated the Tensorflow base to 2.7.1-gpu
  • [UnMicst] The code for automatic GPU selection is now more robust. It no longer relies on parsing nvidia-smi output with a regular expression and uses pynvml instead.

2022-02-11

  • Added a CHANGES file
  • Reworked GPU config profile to expose all GPUs across all platforms
    • When running MCMICRO on O2, use -profile O2,GPU (comma, no space) instead of -profile O2gpu
  • quantification is now the default stopping point

2022-01-04

  • Coreograph now supports splitting of large tissue chunks and will split them into individual files for faster downstream segmentation. If your image sizes were too large for s3segmenter because they contained multiple tissue sections, this should help. To turn Coreograph on, include --tma as if you had a TMA. By default, Coreograph is set to deal with TMAs, so you will need to tweak --core-opts to have it handle multiple tissue sections instead:
nextflow run labsyspharm/mcmicro --in /my/project --tma --core-opts '--tissue --downsampleFactor 6'