X-ray induced bio-acoustic emissions from cultured cells
Bibliographic record
Abstract
Purpose We characterise for the first time the emission of bio-acoustic waves from cultured cells irradiated at doses of X-ray photon radiation relevant to medical and accidental exposure. Methods and materials Human cancer cell lines (MCF-7, HL-60) and control cell-free media were exposed to 1 Gy X-ray photons while recording the sound generated before, during and after irradiation. Cellular cytotoxicity following photon irradiation was determined by extracellular LDH levels, and irradiated cell conditioned media were tested for their ability to elicit a bystander effect in reporter cells. Results We report the first recorded acoustic signals captured from a collective pressure wave response to ionising irradiation. The signature of the collective acoustic peaks was temporally wider and with higher acoustic power for irradiated HL-60 than for irradiated MCF-7. Conclusions We show that at doses of X-ray irradiation capable of producing the release of bystander effect-inducing activity, both cell types emit a characteristic acoustic signal for the duration of the radiation pulse. The rapid signal decay is consistent with a passive rather than an active acoustic signal generation. This preliminary study suggests that further work on the potential role of radiation induced acoustic emission (RIAE) in the cellular bystander effect is merited.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".