“Diagnostics” here is not one technology but a measurement layer that has recently been rebuilt around nonlinear frequency conversion, single-photon silicon detection and machine-learning reconstruction, with strong benchtop results in physics instrumentation and only early, pre-clinical evidence on the health side.
Summary
A diagnostic is an instrument plus an inference chain: you couple to a system you cannot disturb much, record a signal that is noisy, incomplete or indirect, and reconstruct the quantity you actually wanted. The sources grouped under this concept span four very different systems being probed: living cells, gas mixtures and combustion, particle beams and thin-film growth, and quantum devices. What unites them is that the recent progress is in the reconstruction and detection layer rather than in new physical contrast mechanisms.
A caution about scope. The taxonomy places this under health, but the supplied evidence is overwhelmingly instrumentation physics with biomedical use cited as motivation rather than demonstrated. Nothing here is a clinical assay, and no source reports patient data, sensitivity or specificity against a clinical standard.
Evidence base
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Assessment drafted 2026-08-31 from up to 18 KB sources using the technology-scorecard framework; scores are a draft read pending review.