3D microscopic imaging by synchrotron radiation micro/nano-CT
Bibliographic record
Abstract
Biological microscopic imaging is receiving increasing interest with the development of new modalities. In this context Synchrotron Radiation (SR) Nano-CT demonstrates a high potential in opening new horizons. We recall the principle of SR micro-CT and its advantages over standard X-ray micro-CT in terms of accuracy and signal to noise ratio. We briefly present data acquisition and reconstruction in absorption and phase CT. While in the first case image reconstruction is based simply on the standard filtered back projection algorithm, in the later case it involves a preliminary step of phase retrieval. Applications of this technique in bone research in conjunction with specific image analysis developments are shown. At the micrometer scale, trabecular and cortical bone have been analyzed in human samples and mice. At the nanometer scale, we present recent data on the osteocyte network which has never before been investigated in 3D. Open problems for the segmentation and quantification of the complex canalicular network are highlighted.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".