Data

Machine Learning Macropinocytosis

The University of Queensland
Dr James Lefevre (Aggregated by) Dr James Lefevre (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/dc2f523&rft.title=Machine Learning Macropinocytosis&rft.identifier=RDM ID: MACRO2019-Q0930&rft.publisher=The University of Queensland&rft.description=This collection hosts the imaging data from the ARC Discovery Project grant Machine Learning for Organelle Selection & Feature Detection in Live Cells (DP180101910). Data consists of large scale 4D microscopy datasets produced by the cutting edge Lattice Light Sheet Microscope at the Institute for Molecular Bioscience, capturing macrophage and cancer cells.&rft.creator=Dr James Lefevre&rft.creator=Dr James Lefevre&rft.date=2019&rft_rights=2022, The University of Queensland&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Algebraic and Differential Geometry&rft_subject=MATHEMATICAL SCIENCES&rft_subject=PURE MATHEMATICS&rft_subject=BIOCHEMISTRY AND CELL BIOLOGY&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details

Access:

Restrictions apply

Contact Information

data@library.uq.edu.au

Full description

This collection hosts the imaging data from the ARC Discovery Project grant Machine Learning for Organelle Selection & Feature Detection in Live Cells (DP180101910). Data consists of large scale 4D microscopy datasets produced by the cutting edge Lattice Light Sheet Microscope at the Institute for Molecular Bioscience, capturing macrophage and cancer cells.

Issued: 2019

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Research Computing Centre (RCC) Datasets

local : UQ:5d1d4fb

Research Data Collections

local : UQ:289097

Identifiers