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Add to settings:
.. code-block:: python
INSTALLED_APPS = [
...
'edc_lab.apps.AppConfig',
...
]
Create aliquot types:
.. code-block:: python
# aliquot types
wb = AliquotType(name='whole_blood', alpha_code='WB', numeric_code='02')
bc = AliquotType(name='buffy_coat', alpha_code='BC', numeric_code='16')
pl = AliquotType(name='plasma', alpha_code='PL', numeric_code='32')
Add possible derivatives to an aliquot type:
.. code-block:: python
# in this case, plasma and buffy coat are possible derivatives
wb.add_derivatives(pl, bc)
Set up a processing profile:
.. code-block:: python
viral_load = ProcessingProfile(
name='viral_load', aliquot_type=wb)
process_bc = Process(aliquot_type=bc, aliquot_count=4)
process_pl = Process(aliquot_type=pl, aliquot_count=2)
viral_load.add_processes(process_bc, process_pl)
Create apanel
that uses the processing profile:
.. code-block:: python
panel = RequisitionPanel(
name='Viral Load',
processing_profile=viral_load)
Add the panel (and others) to a lab profile:
.. code-block:: python
lab_profile = LabProfile(
name='lab_profile',
requisition_model='edc_lab.subjectrequisition')
lab_profile.add_panel(panel)
Register the lab_profile
with the site global:
.. code-block:: python
site_labs.register(lab_profile)
Create a requisition model instance:
.. code-block:: python
requisition = SubjectRequisition.objects.create(
subject_visit=self.subject_visit,
panel_name=self.panel.name,
is_drawn=YES)
Pass the requisition to Specimen
.. code-block:: python
specimen = Specimen(requisition=requisition)
Process:
.. code-block:: python
specimen.process()
Aliquots have been created according to the configured processing profile:
.. code-block:: python
>>> specimen.primary_aliquot.identifier
'99900GV63F00000201'
>>> for aliquot in specimen.aliquots.order_by('count'):
print(aliquot.aliquot_identifier)
'99900GV63F00000201'
'99900GV63F02013202'
'99900GV63F02013203'
'99900GV63F02011604'
'99900GV63F02011605'
'99900GV63F02011606'
'99900GV63F02011607'
.. |pypi| image:: https://img.shields.io/pypi/v/edc-lab.svg :target: https://pypi.python.org/pypi/edc-lab
.. |actions| image:: https://github.com/clinicedc/edc-lab/actions/workflows/build.yml/badge.svg :target: https://github.com/clinicedc/edc-lab/actions/workflows/build.yml
.. |codecov| image:: https://codecov.io/gh/clinicedc/edc-lab/branch/develop/graph/badge.svg :target: https://codecov.io/gh/clinicedc/edc-lab
.. |downloads| image:: https://pepy.tech/badge/edc-lab :target: https://pepy.tech/project/edc-lab
FAQs
LIMS/lab classes for clinicedc/edc projects
We found that edc-lab demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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