Preliminary Bone Imaging on 05B1-1 Beamline at the Canadian Light Source: Exploration of Diffraction Enhanced Imaging
Bibliographic record
Abstract
The bending magnet line (05B1-1) of the BioMedical Imaging and Therapy (BMIT) facility of the Canadian Light Source saw initial research application (Figure 1) during commissioning which began in December 2008 and continued intermittently through May 2010. Following an initial run based upon letters of intent (June-Dec. 2010), the bending magnet line is now available for regular user access. The mandate to advance research related to human and animal health, combined with an active bone imaging community at the University of Saskatchewan, has resulted in a strong representation of skeletal imaging during initial experiments at BMIT. To date, specific manifestations of bone imaging have ranged from micro-CT imaging of human cortical bone samples to in vitro diffraction enhanced imaging (DEI) of rat and pig bones and, ultimately, to in vivo DEI of bones within young chickens. In this article we focus on the diffraction enhanced imaging capabilities of BMIT and describe our efforts to apply this technology to human trabecular bone microarchitecture – a potential clinical application in the future.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".