Harmonic Generation and Impact of Phase Matching in Multimodal Multiphoton Microscopy
Bibliographic record
Abstract
Second and third harmonic generations (SHG and THG) have been widely utilized in multiphoton microscopy. However, the origin of the contrast signals and the impact of phase matching in imaging tissues is still not well understood. This study presents theoretical analyses of harmonics generation with a focused Gaussian beam. Analytical solutions are obtained for the integral of the phase-matching factor which can be applied to various focusing and sample conditions. Our results show that the phase matching condition is relaxed and reasonable SHG and THG efficiency can be excited near interfaces or for thin samples with normal dispersion. An optimization process of the confocal parameter is proposed based on the properties of the sample. Multimodal label-free imaging which combines SHG, THG, and two-photon excitation fluorescence is demonstrated on biological samples for acquiring complementary information about tissues.
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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".