Automated Blastomere Segmentation for Early-Stage Embryo Using 3D Imaging Techniques
Bibliographic record
Abstract
Automation of single biological cell surgery requires that the location of organelles and cell structures to be determined to permit automated processing carried out in the cell surgery process. In this work, z-stack images of mouse embryos are used as model to develop image processing algorithms to determine the location (x, y,z) coordinates of the embryo blastomeres. The mouse embryos are transparent, allowing a series of images along the vertical cell axis to be obtained. Individual z-stack images are processed using 2D image processing steps to first segment, then estimate the centroid (x, y) coordinates of the blastomeres in the 2D image. Successive processing of all z-stack images then permits the centroid of the blastomeres to be determined in (x, y, z) coordinates. These algorithms are verified using z-stack images of mouse embryos at the 2 blastomere stage of development.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".