Table 1 Comparison of TYPEx with cell phenotyping approaches

From: Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX

Approach

Automated cell subtype assignment

Prior inputs

Automated detection of positivity/states

Tissue segmentation

Low-confidence calls

Visualisation and QCa

Summary outputsb

Dockerised

TYPEx

✓

cell type definitions

✓ (cohort level)

✓

✓ (automated)

✓

✓

✓

STELLAR7

✓

training data for the panel

✓ (image and cohort level)

⤫

⤫

⤫

⤫

⤫

Astir6

✓

cell type definitions

⤫, under development

⤫

✓ (requires user-defined threshold)

heatmap

⤫

⤫

CELESTA5

✓

cell type definitions

✓ (optimisation, image and cohort level)

⤫

✓ (requires user-defined threshold)

scatter plot

⤫

⤫

FastPG19

⤫

unsupervised

⤫

⤫

⤫

⤫

⤫

✓

  1. aMarker intensity heatmaps and distribution plots, assigned cell object maps and scatter plots, overlays of marker intensity and positivity.
  2. bNormalised cell counts (cell density), sample information, and spatial cell annotations. Summary outputs refer to summary tables such as normalised counts, summary quantifications with sample information, and spatial annotations of single-cell objects. QC quality control.