Measurement and analysis of defocused point spread functions and optical transfer functions of a microscope
Bibliographic record
Abstract
The defocused point spread functions and optical transfer functions of a microscope were measured and analyzed. The main purpose of the analysis was to verify the accuracy of analytical approximations of these functions, which were presented but not extensively studied in the literature. The measured results were compared with those calculated by Castleman's (1979) theoretical approximation, in the space and frequency domains, graphically and numerically. The results showed that for the numerical apertures used, the theoretical functions were close to the measured functions, and thus Castleman's theoretical approximation is a fairly good approximation. These defocused point spread functions are being used for the optical sectioning as part of microscope image visualization system described by Li, Agathokils, Peet, Jensen and Sahota (see Proceedings of 1993 Canadian Conference on Electrical and Computer Engineering, p.1013-1016, Sept. 1993, Vancouver).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".