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