Diagnostics Using Spectroscopy TRIZ Cases

Using only 900-1000 nm near-infrared diffuse reflectance, this case quantifies tissue water and lipid non-invasively with simpler hardware.

A near-ear optical waveguide directs photons into shallow arterial beds for more precise blood flow sensing and real-time presyncope alerts.

Ultra-low-energy PAM combines OCT and dye-based microscopy to improve retinal image quality while reducing photoreceptor damage and motion artifacts.

A crystalline lens and guidance mechanism keep non-contact Raman measurements spatially specific and repeatable in small body cavities.

Residual-randomness screening of spectral principal components improves non-invasive glucose estimation accuracy without finger-prick pain or infection risk.

Confined optical probing in a porous membrane sensor separates particulates from analytes for faster, reliable whole blood detection.

Co-located optical channels and tissue-contact electrodes correlate and cancel motion noise for accurate physiologic sensing with lower power use.

Adaptive driver monitoring switches between image and activity cues to keep drowsiness detection reliable when camera frame rates drop.

Multi-wavelength optical blood sensing uses normalization and correction to estimate HbA1c non-invasively with lower complexity and faster analysis.

Absorbing substances tune tissue refractive index via the Kramers-Kronig relation, reducing scattering for live deep-tissue imaging.

By extracting P1 and P2 waveform features from NIRS, DCS, SCOS, and PPG signals, this case improves non-invasive blood pressure estimation.

Machine learning separates cerebral and non-cerebral optical signals to improve continuous head biometric monitoring accuracy at lower cost.

Electrochemically treated water and optical spectroscopy analyze body-emitted vapor envelopes for rapid non-contact diagnosis.

Cavity-enhanced frequency-comb breath analysis uses machine learning to deliver rapid, non-invasive COVID detection with high sensitivity.

Multiple laser diodes are combined through a fiber bundle and delivery fiber to tailor wavelength, power, and beam shape for surgery.

Optical Raman sensing replaces needle-based glucose checks, using a filter array and calibration to support continuous, pain-free monitoring.

Raman spectroscopy with a linear variable filter enables non-invasive glucose monitoring, avoiding needle pain while supporting long-term use.

Stacked photodiodes remove specular reflection and DC offsets before amplification, improving gingivitis detection accuracy.

Microwave tissue heating paired with infrared radiometry assesses skin perfusion non-invasively while avoiding RF interference and MRI-level cost.

Near-infrared palm reflectance and a neural network estimate blood glucose without finger pricks or invasive CGM sensors.

Near-infrared and biometric sensing characterize intracranial pulse states to detect hydrocephalus shunt malfunction noninvasively.

By reusing eye and face tracking optics, speckle contrast imaging captures facial microtremors for heart rate monitoring with low added cost and power.

Multiple optical wavelengths and a central detector help distinguish GI bleeding from fecal matter for faster, real-time monitoring.

Low-cost thermopile and PIR sensing tracks turnover events to infer sleep posture without cameras, wearables, or bedsheet sensors.

Multi-arm illumination and detection fibers extend cardiac tissue characterization beyond 100 µm and improve mapping of anisotropic myocardium.

Optical Raman probe spectra and predictive modeling replace invasive blood sampling for continuous, real-time hypoxia assessment.

Diffuse palm reflectance at six near-infrared wavelengths with a neural network enables painless, continuous blood glucose estimation.

A sparse multi-height sensor array improves brain signal spatial detection accuracy while reducing sensor count, cost, and acquisition burden.

Multi-wavelength PPG tracks plasma and tissue fluid shifts while separating hemodilution from blood loss for real-time fluid guidance.

Narrow-beam optical transmitters cut internal stray light and improve skin penetration for more accurate biometric sensing in compact wearables.

Visible and infrared image matching isolates the eye-corner region for stable contactless temperature screening at entrances.

Multiple UV-visible and NIR wavelengths separate anatomy from perfusion, reducing motion artifacts in endoscopic blood flow imaging.

Non-invasive spectral imaging detects sub-surface tissue changes before visible skin damage, enabling anatomy-specific pressure ulcer intervention.

Periodic pulsed-laser sampling isolates ambient-light noise from detected signals, improving noninvasive analyte measurement accuracy.

Automatic height adjustment, face centering, and IR/RGB imaging improve contactless biometric signal quality under ambient light and motion noise.

A nanophotonic resonator chip replaces wired electrode arrays with label-free optical readout for scalable, high-resolution neural recording.

Real-time tissue feedback switches laser wavelengths during in vivo ablation to maintain removal efficiency, visibility, and shorter procedures.

Direct water saturation tracks Z-spectrum linewidth changes to detect glucose uptake more accurately at clinical MRI field strengths with less motion artifact.

Wall-embedded optical fibres preserve imaging and a tool channel in a sub-2.5 mm endoscope for distal lung access and single-use diagnosis.

Palm diffuse reflectance at six near-infrared wavelengths is processed by a neural network to estimate glucose without finger pricks or sensor patches.