Automated Three-Dimensional Image Based Localization of Blastomeres for Single Cell Surgical Applications
Bibliographic record
Abstract
Single biological cell surgery requires accurate localization of cell structures and organelles within the cell to permit automated processing. This study proposes an image based system to localize blastomeres in 3-dimensions (3D), in preparation of embryo orientation and ablation. Optical section images along the z-axis (z-stacks) are used to localize the blastomeres using computer vision, and further reconstruction and relocalization are achieved by clustering the 3D data along the z-axis. Two 3D reconstruction algorithms were investigated. The first proposed system processes each z-stack image using local phase coherence maps (LPC) and circle Hough transforms to accurately locate the centroid of the blastomeres while the second system generates and localizes the 3D data, in real time, using the optical flow of the image feed as the z-stacks are acquired. Experimental results demonstrate accurate localization of the blastomeres.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".