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Image Processing & Correction

Grayscale image

One number per pixel — the workhorse format of quantitative imaging

Definition
A grayscale image is a single-channelLoading... image — one intensity value per pixel. The value's range depends on bit depthLoading...: 0–255 for 8-bit, 0–65,535 for 16-bit, 0–4.29 billion for 32-bit. Higher means brighter; the absolute meaning of the number depends on the imaging modality and exposure. A fluorescence channel arrives as a grayscale image. A converted brightfield image becomes one. Most BOM filter, threshold, and detection engines expect this shape on input — color images get split into channels first.
Pre processing - Import - Grayscale Image
Video · Primary
User Interface - Dimensions (8bit FL)
Video · Primary
Supporting
Dynamic range - 16bit to 8bit normalization
Video · Supporting
Pre processing - Basic - Virtual Channel
Video · Supporting
Dynamic range - 16bit to 8bit normalization 6m
Video · Supporting
Dynamic range - 16bit to 8bit normalization 4m
Video · Supporting
Detection - Nuclei Segmentation Classic
Video · Supporting
Detection - Total Area
Video · Supporting
Intensity, not color
Brightness is the only signal
Born from a sensor, born from a conversion
Two paths to grayscale
The histogram tells you everything
What the image looks like before you look

Why analysis engines want grayscale

Most BOM detection and measurement engines specifically expect grayscale on input — a single number per pixel. The reason is operational: the engine's question is usually how bright, not what color, and a single-channel input lets the engine reason about intensity without untangling channel correlations.

So a typical fluorescence pipeline starts with channel extraction — pulling, say, the DAPI or FITC channel from a multi-channel acquisition — and feeding that single grayscale image into Pre-Processing filters and Detection engines. A typical brightfield pipeline starts with color-space conversionLoading... to grayscale, or with stain separation that produces a grayscale image per chromogen.

The exception is engines explicitly designed for color, like the color conversionsLoading... or the ClassifierLoading... when trained on RGB features. Those want the multi-channel input. Most don't.

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