Cell differentiation based on the interference pattern between the incident and scattered light: a numerical study
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Bibliographic record
Abstract
We present a new interference pattern based scheme for the cell diagnostics. In this approach the biological cell is illuminated by a spherical light source. The interference pattern that is created by the unscattered incident light and the light that is scattered by a cell is used for cell diagnostics. A three-dimensional computational code (AETHER) for solving the full set of Maxwell’s equations with the Finite-Difference Time-Domain (FDTD) method has been used to numerically determine the interference light intensity pattern between the unscattered incident light and the scattered light. Features of the interference patterns that are obtained for different cellular parameters and structures are discussed. We have numerically shown that the interference intensity pattern can replace the purely scattered light patterns currently used in cell diagnostics.
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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 it