Optical droplet vaporization (ODV): Photoacoustic characterization of perfluorocarbon droplets
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Bibliographic record
Abstract
Optical droplet vaporization (ODV) of nanoscale and micron-sized liquid perfluorocarbon (PFC) droplets via a 1064 nm laser is presented. The stability and laser fluence threshold were investigated for PFC compounds with varying boiling points. Using an external optical absorber to facilitate droplet vaporization, it was found that droplets with boiling points at 29°C and 56°C were consistently vaporized upon laser irradiation using a fluence of 0.7 J/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> or greater, while those with higher boiling points did not, up to a maximum laser fluence of 3.8 J/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . Upon vaporization, the droplet rapidly expanded to approximately 10-20x the original diameter, then slowly and continuously expanded at a rate of up to 1 μm/s. Lead sulphide (PbS) nanoparticles were incorporated into perfluoropentane (PFP) droplets to facilitate vaporization. The fluence threshold to induce vaporization ranged from 0.8 to 1.6 J/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , the wide range likely due to variances of the PbS concentration within the droplets. Prior to vaporization, the photoacoustic spectral features of individual droplets 2-8 μm in diameter measured at 375 MHz agreed very well with the theoretical prediction using a liquid sphere model. In summary, the use of liquid droplets for photoacoustic imaging and cancer therapy has been demonstrated.
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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