Research graph
References from PENGUIN: A rapid and efficient image preprocessing tool for multiplexed spatial proteomics. Local targets link to admitted publications; unresolved targets remain external evidence.
The dawn of spatial omics
10.1126/science.abq4964 · 2023 · External reference
Unraveling the complexity of the cancer microenvironment with multidimensional genomic and cytometric technologies
10.3389/fonc.2020.01254 · 2020 · External reference
10.1038/nmeth.2869
10.1038/nmeth.2869 · External reference
10.1126/sciadv.aax5851
10.1126/sciadv.aax5851 · External reference
10.1016/j.cell.2018.07.010
10.1016/j.cell.2018.07.010 · External reference
Mass cytometry imaging for the study of human diseases-applications and data analysis strategies
10.3389/fimmu.2019.02657 · 2019 · External reference
MAUI (MBI Analysis User Interface)-an image processing pipeline for multiplexed mass based imaging
10.1371/journal.pcbi.1008887 · 2021 · External reference
10.1016/j.cels.2018.02.010
10.1016/j.cels.2018.02.010 · External reference
Different approaches to imaging mass cytometry data analysis
10.1093/bioadv/vbad046 · 2023 · External reference
IMC-Denoise: a content aware denoising pipeline to enhance imaging mass cytometry
10.1038/s41467-023-37123-6 · 2023 · External reference
10.1016/j.cmet.2019.01.003
10.1016/j.cmet.2019.01.003 · External reference
Different approaches to imaging mass cytometry data analysis
10.1093/bioadv/vbad046 · 2023 · External reference
10.1016/j.cell.2018.08.039
10.1016/j.cell.2018.08.039 · External reference
10.1038/s41586-021-03475-6
10.1038/s41586-021-03475-6 · External reference
10.1038/s41596-023-00881-0
10.1038/s41596-023-00881-0 · External reference
10.1038/s41592-019-0582-9
10.1038/s41592-019-0582-9 · External reference
10.1002/cyto.a.24480
10.1002/cyto.a.24480 · External reference
10.1136/gutjnl-2022-327608
10.1136/gutjnl-2022-327608 · External reference
Noise2void-learning denoising from single noisy images
2019 · External reference
Building autoencoders in keras
2016 · External reference
SciPy 1.0: fundamental algorithms for scientific computing in Python
10.1038/s41592-019-0686-2 · 2020 · External reference
scikit-image: image processing in Python
10.7717/peerj.453 · 2014 · External reference
Image denoising by sparse 3-D transform-domain collaborative filtering
10.1109/tip.2007.901238 · 2007 · External reference
Unresolved reference
External reference
Semi-automated background removal limits data loss and normalizes imaging mass cytometry data
10.1002/cyto.a.24480 · 2021 · External reference
CellProfiler 3.0: next-generation image processing for biology
10.1371/journal.pbio.2005970 · 2018 · External reference
10.1109/tvcg.2019.2931299
10.1109/tvcg.2019.2931299 · External reference
Unresolved reference
2016 · External reference