Motivation
Body axes become morphologically visible from comma stage onward:
- AP axis: elongation direction (head is slightly narrower with denser nuclear signal from pharynx)
- DV axis: perpendicular, ventral side is the concave surface of the comma curve
Knowing the axes helps with longitudinal consistency — the embryo rotates within the eggshell between timepoints. Without axis tracking, it's ambiguous whether a morphological change between T41 and T42 reflects stage progression or embryo rotation.
Use cases
- Rotation disambiguation: "the embryo looks different" → did the stage change, or did it rotate 30°?
- Twitching detection: late pretzel embryos twitch (rapid brief movements). Axis tracking could distinguish twitching from actual stage progression.
- Consistent classification: same embryo from different orientations should classify the same way
Constraints
With histone-only (nuclear) fluorescence, axis identification relies on morphological asymmetry, not cell-specific markers. Reliable from comma stage onward. Not useful during early/bean when the embryo is roughly symmetric.
Output
An additional field in perception output or session state:
orientation: {ap_angle_deg: float, dv_angle_deg: float}
Tracked over time to detect rotation events vs stage transitions.
Priority
Defer until fold-stage accuracy is improved (#4). The accuracy bottleneck is more impactful to solve first.
Motivation
Body axes become morphologically visible from comma stage onward:
Knowing the axes helps with longitudinal consistency — the embryo rotates within the eggshell between timepoints. Without axis tracking, it's ambiguous whether a morphological change between T41 and T42 reflects stage progression or embryo rotation.
Use cases
Constraints
With histone-only (nuclear) fluorescence, axis identification relies on morphological asymmetry, not cell-specific markers. Reliable from comma stage onward. Not useful during early/bean when the embryo is roughly symmetric.
Output
An additional field in perception output or session state:
Tracked over time to detect rotation events vs stage transitions.
Priority
Defer until fold-stage accuracy is improved (#4). The accuracy bottleneck is more impactful to solve first.