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Detection & Segmentation

14
Terms

Term Reference

14 terms
TermDescription
Coded Image A label map: every pixel of a detected object carries that object's ID, and background is zero.
Deep Learning Nuclei Detection Nuclei detection by a trained neural network, which recognizes nuclei by appearance rather than intensity rules.
Dots Detection Dots (FISH/CISH) Detection Engine Finds small punctate signals such as FISH and CISH dots, even where neighboring dots partly overlap.
Engines The building blocks of an analysis: each engine takes images in and produces images or measurements out.
Grow Grow Engine (Global) Expands each detected event outward by a set distance, for example from the nucleus into the cytoplasm.
Layers A set of engines structured to detect one type of object and measure it; an analysis is one or more layers.
Manual Correction Manual Correction Engine Editing detection results by hand: split, merge, add, or remove events before measurement.
Membrane Membrane Detection Engine Detects membrane-like structures in a membrane-marker image, producing a membrane mask and its one-pixel-wide skeleton.
Nuclei Detection Finds each nucleus, separates touching ones, and gives every nucleus its own ID: the start of cell analysis.
Remove Objects Remove Objects Engines Removes detected events that fail size, shape, or intensity criteria before measurement.
The StrataQuest Workspace Layer · Section · Engine: how a StrataQuest analysis is composed How an analysis is organized: layers of engines, from Pre-Processing and Detection through to Measurements.
Tissue Detection Finds where tissue is on the slide, separating it from empty glass so analysis covers only the specimen.
Total Area Total Area Detection Engine Thresholds an image into a single mask of everything above or below a cutoff: area, not object counts.
Watershed Watershed Segmentation Engine (Global) Segments an image the way water fills valleys: the ridges where basins meet become object boundaries.
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