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Image Data

Grayscale image

One number per pixel, the standard input for quantitative imaging

Definition
A grayscale image is a single-channelLoading... image: one intensity value per pixel, in a range set by bit depthLoading... (0–255 for 8-bit, 0–65,535 for 16-bit, 0–4.29 billion for 32-bit). Higher is brighter, but the absolute meaning of a value depends on modality and exposure. A fluorescence channel arrives as grayscale, and a brightfield image becomes grayscale by conversion. Most BOM filter, threshold and detection engines require this shape.
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
From sensor or from conversion
Two paths to grayscale
Read the histogram first
What the image looks like before you look

Why analysis engines require grayscale

Most BOM detection and measurement engines require grayscale input, one number per pixel. A single-channel input lets an engine work on intensity without untangling correlations between channels.

So a typical fluorescence pipeline starts from the DAPI or FITC channel image itself, which StrataQuest offers directly as an engine input, and feeds that grayscale image to Pre-Processing filters and Detection engines. A typical brightfield pipeline starts with color-space conversionLoading... to grayscale, or with stain separation that produces one grayscale image per chromogen.

The exceptions are engines built for color, such as the color conversionsLoading... or the ClassifierLoading... when trained on RGB features. Those take multi-channel input. Most engines don't.

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