Article

Cell Spotter (CSPOT): A machine-learning approach to automated cell spotting and quantification of highly multiplexed tissue images

2023-11-17

Abstract excerpt

<h4>ABSTRACT</h4> Highly multiplexed tissue imaging and in situ spatial profiling aim to extract single-cell data from specimens containing closely packed cells of diverse morphology. This is challenging due to the difficulty of accurately assigning boundaries between cells (segmentation) and then generating per-cell staining intensities. Existing methods use gating to convert per-cell intensity data to positive...

Topics

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

Identifiers and source

Literature Corpus work: 6dcd1699-4b13-5ef1-a421-2f5324b19d89
DOI: 10.1101/2023.11.15.567196

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Cell Spotter (CSPOT): A machine-learning approach to automated cell spotting and quantification of highly multiplexed tissue imagesDOI 10.1101/2023.11.15.567196Read

Tribus: Semi-automated discovery of cell identities and phenotypes from multiplexed imaging and proteomic dataSemantic proximity Read

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex ImagingSemantic proximity Read

Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data.Semantic proximity Read

Segmentation aware probabilistic phenotyping of single-cell spatial protein expression dataSemantic proximity Read

PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patternsSemantic proximity Read

Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX.Semantic proximity Read

PixlMap: A generalisable pixel classifier for cellular phenotyping in multiplex immunofluorescence imagesSemantic proximity Read

Spatial Deconvolution of Cell Types and Cell States at Scale Utilizing TACITSemantic proximity Read

Bin2cell reconstructs cells from high resolution Visium HD dataSemantic proximity Read

Spatial Deconvolution of Cell Types and Cell States at Scale Utilizing TACITSemantic proximity Read

Integrated cytometry with machine learning applied to high-content imaging of human kidney tissue for <i>in-situ</i> cell classification and neighborhood analysisSemantic proximity Read

Validation of Morphology-Guided Computational Enhancement for Single-Cell Resolution Spatial TranscriptomicsSemantic proximity Read