Field of View | strataquest

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Definition

The fundamental image tile captured at a single scanner position — whole-slide images are mosaics of many FOVs, and StrataQuest processes analysis per-FOV with optional cross-tile stitching for continuity.

Basic Image Unit

One camera frame per scanner position

Per-FOV Processing

Analysis operates tile by tile

Border Handling

Cross-tile stitching preserves edge objects

Local vs. Global Engines

Per-FOV speed vs. cross-FOV accuracy

How FOVs Work in StrataQuest

Whole-slide scanning captures tissue as a mosaic of FOVs. Each FOV represents one camera frame at one stage position. StrataQuest's analysis architecture reflects this tiling:

Local engines (per-FOV) — Fast processing, independent per tile. Not suited for objects spanning tiles.
Global engines (cross-FOV) — Multiple iteration passes propagate information across tile boundaries. Handles large structures and maintains measurement continuity.
Border options — Detection engines can add pixels from neighboring FOVs as borders to preserve edge continuity.

The distinction between local and global is important for choosing the right Distance Map variant, measurement mode, and detection configuration.

Simplified

A whole-slide image is like a jigsaw puzzle of individual camera frames (FOVs). StrataQuest can analyze each piece independently (fast) or handle objects that cross piece boundaries (slower but more accurate). For most analysis, global mode gives the best results.

How FOVs Work in StrataQuest

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