Diagnostics Using Spectroscopy TRIZ Cases

A spectroscope controller adjusts measurement position using vein pattern recognition to acquire accurate skin spectra.

Mounting an imaging sensor on the end effector improves measurement precision of material properties despite increased device complexity.

Spatiotemporal amplitude-modulated patterns condition neural signals to improve decoder accuracy, reducing training time while managing system complexity.

A fiber-optic probe detects early increases in microvascular blood supply using polarization-gated broadband light.

A segmented laser array emits multiple wavelengths onto a single target position to enable high-resolution diffuse optical tomography.

Spatial light modulation controls the angle of incidence on biological tissue, resolving measurement precision limits caused by light scattering.

Segmenting the adapter isolates a reusable sapphire window from a disposable plastic housing, preventing carbon dioxide contamination during sterilization.

A single optical fiber with a tapered waveguide discriminates guided modes to collect light signals from deep tissue layers.

A mid-infrared detection system calculates a quotient from radiation differences and the temperature derivative to determine substance concentration.

A caries detection device uses segmented fluorescence screening to guide targeted Raman spectroscopy for precise dental analysis.

An optical instrument correlates Brillouin scattering with second harmonic generation signals to analyze corneal tissue properties.

Near-infrared spectroscopy detects cortical neuritic plaques and neurofibrillary tangles through light absorbance measurements.

Mobile device captures tissue light transmittance and scattering data to estimate blood glucose concentration without skin puncture.

An implantable sensor uses a moving mask to modulate RF tag response, eliminating invasive thermal equipment.

Optical assembly directs excitation light to the eye fundus and separates return signals for spectral analysis.

An endoscope system processes multiple wavelength bands to generate special light images for medical observation.

Depth-gated speckle analysis differentiates cellular responses in tissue layers, resolving accuracy limits in drug toxicity screening.

Near-infrared auto-fluorescence imaging objectively identifies parathyroid glands during surgery, reducing accidental removal risks.

A tissue identification device calculates the absorbance ratio of two inspection lights to classify biological tissue types.

A spectrum analysis device quantifies differences among skin spectra to determine appropriateness for blood glucose measurement.

A non-invasive optical backscatter method measures light reflection to determine sun protection factors without skin damage.

Multi-distance near-infrared detectors separate shallow and deep tissue layers to determine muscle glycogen and hydration without invasive procedures.

A breath analysis system uses a molecule collector and laser to release volatile organic compounds for mass spectrometry detection.

A device uses infrared radiation and a Fabry-Pérot interferometer to detect blood compounds.

Individual patient spectroscopic thresholds eliminate inter-patient variance, improving tissue discrimination accuracy during biopsy procedures.

Signal pre-processing normalizes amplitude and temporal variations from tunable quantum cascade lasers, enabling accurate fast IR spectroscopic tissue analysis.

An endoscopic imaging apparatus uses time-interleaved multi-color excitation signals and a monochrome detector to generate real-time image data.

An integrated sensing system uses multi-wavelength light and a correlator to detect optical signal delays for precise blood flow analysis.

A noninvasive optical system estimates absolute blood flow using diffuse correlation spectroscopy and near-infrared spectroscopy.

A neurostimulation system adjusts parameters using simultaneous EEG and fNIRS recordings.

Fiber optic probes replace neuro-electrophysiological monitoring with continuous diffuse correlation spectroscopy to detect spinal cord ischemia.

A bio-signal analysis apparatus uses a General Net Analyte Signal algorithm to generate and update concentration estimation models from in vivo spectra.

Embedding optical fibers in an orthopedic pin shaft transmits radiation for bone analysis, replacing X-ray fluoroscopy to reduce radiation exposure.

A multi-wavelength fluorescence detection system uses bandpass filters to generate interpretable signals from biological tissue.

A plenoptic endoscope fiber bundle uses a microlens array to direct light field information onto an image sensor for spatial capture.

An integrated catheter detects tissue birefringence to predict lesion depth, resolving the trade-off between assessment accuracy and device complexity.

A coaxial acousto-optic modulator system amplifies laser beams using focused ultrasound waves in a clear medium.

A surface-enhanced Raman scattering patch uses a metal nanostructure layer to amplify molecular signals for accurate detection.

A fiber-based otoscopic system uses Raman spectroscopy to identify microbiological constituents in the middle ear.

A pre-secured instrument holder maintains measurement comparability by returning the sensor to the same position after removal.

Confocal detection system measures reflection spectra from individual blood vessels to determine oxygenation and hemoglobin levels.

A controller applies extracted spectrum data to a level estimation model for blood component analysis.

An external magnetic positioning system controls capsule speed and orientation in the esophagus, resolving rapid transit time issues that limit image capture.

A bio-signal quality assessment apparatus calculates a moving average of signal samples to determine variance and categorize signal quality as high, moderate, or low.

A monitoring system uses a reference tab within the infrared detector field of view to compute core temperature.

An integrated fiber optic probe combines treatment and sensing fibers to deliver laser energy.

Chemometric filtering removes interfering blood signals during in vivo near-infrared spectroscopy, enabling accurate vulnerable plaque diagnosis.

A fraction-product method identifies optimal spectral discriminants to classify biological specimens using optical spectroscopy data.