Bibliographic record
Abstract
Coherent Anti-Stokes Raman Scattering (CARS) Microscopy has emerged as an important tool for label-free yet chemical-specific imaging of live cells and tissue. The contrast mechanism in CARS derives from the natural vibrational Raman spectrum of the molecule of interest. Since Raman linewidths in the condensed phase are typically 10 cm-1 or so, for the past decade it was assumed that picosecond lasers, having bandwidths in the 10cm-1 range, will be required for CARS microscopy. Femtosecond pulses, being >100x broader, were thought to give poor contrast. In fact, this is not the case if one takes advantage of the control over optical phase that is implicit in femtosecond pulses. Recently, a much simplified approach was demonstrated wherein a single femtosecond oscillator, combined with a photonic crystal fibre, is used for high performance CARS microscopy. In this approach, control over the linear 'chirp' of the optical phase is used as a flexible tool to optimize performance. The method is simple, robust and flexible enough that a major microscope manufacturer recently used it to develop the first commercially available CARS microscope. An overview of the optimally chirped approach is presented, including recent developments and new opportunities, and illustrate these with applications to selected problems in biomedical imaging.
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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".