Article

A community-based approach to image analysis of cells, tissues and tumors

2021-07-25

Abstract excerpt

Emerging multiplexed imaging platforms provide an unprecedented view of an increasing number of molecular markers at subcellular resolution and the dynamic evolution of tumor cellular composition. As such, they are capable of elucidating cell-to-cell interactions within the tumor microenvironment that impact clinical outcome and therapeutic response. However, the rapid development of these platforms has far outpac...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 95200e59-a64a-5c43-87ac-691fa6c8fa23
DOI: 10.1101/2021.07.22.451363

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A community-based approach to image analysis of cells, tissues and tumorsDOI 10.1101/2021.07.22.451363Read

CellMAPS: A no-code model-based customisable multiplex image analysis workflowSemantic proximity Read

Progress and new challenges in image-based profiling.Semantic proximity Read

Stitching and registering highly multiplexed whole slide images of tissues and tumors using ASHLARSemantic proximity Read

A Computational Workflow for Cell Line Profiling by Imaging Mass Cytometry.Semantic proximity Read

OpenDVP: An experimental and computational framework for community-empowered deep visual proteomicsSemantic proximity Read

Matrix and analysis metadata standards (MAMS) to facilitate harmonization and reproducibility of single-cell dataSemantic proximity Read

Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platformsSemantic proximity Read

Optimizing Image Data Management: A Workflow-Driven Approach for FAIR and Reusable High-Content Screening pipelines with OMEROSemantic proximity Read

Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathologySemantic proximity Read

Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithmsSemantic proximity Read

Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms.Semantic proximity Read

TCIA Radiology Image Processing for AI and RadiomicsSemantic proximity Read