As display technology evolves toward higher resolution and wider color gamuts, spectral analysis has become a core tool for evaluating display performance and optimizing color reproduction. As the “sensory nerves” of spectral analysis systems, photodetectors' multi-channel data acquisition and processing capabilities directly impact analytical precision and efficiency. Through multi-channel array configurations and intelligent algorithm integration, photodetectors are reshaping the technical paradigm of display spectral analysis.

Multi-Channel Detectors: From Single-Point Detection to Full-Spectrum Perception
Traditional single-channel photodetectors, constrained by their structure, can only scan point-by-point to acquire spectral information, resulting in inefficient analysis. The breakthrough innovation of multi-channel detector arrays integrates hundreds to tens of thousands of sensing units, enabling parallel acquisition across the entire spectrum. For instance, in near-infrared spectrometers, photodiode arrays (PDAs) simultaneously receive dispersed multi-wavelength light signals, with each sensing unit corresponding to a wavelength channel. This achieves real-time spectral acquisition speeds over a hundred times faster than single-channel systems. This technology is now widely applied in uniformity testing for Mini LED backlight modules. By covering the 400-1000nm wavelength range with multi-channel detection, it precisely locates local hotspots, improving backlight uniformity by 40%.
In scenarios demanding higher precision, scientific-grade CCD detectors demonstrate unique advantages. Their 2D array structure simultaneously captures spatial and spectral information. In Raman spectrometers, CCD arrays receive diffracted spectral signals, supporting low-wavenumber analysis and providing critical data for material lattice structure research. The room-temperature waveguide-integrated photodetector developed by the Korea Advanced Institute of Science and Technology extends mid-infrared spectral detection to the 4.3μm band. By combining germanium's free-carrier absorption effect with thermal radiation effects, it achieves label-free sensing of carbon dioxide gas, opening new pathways for environmental adaptability testing of display devices.

Data Processing: From Signal Acquisition to Intelligent Analysis
The massive data generated by multi-channel detectors requires intelligent algorithms for value conversion. In display spectral analysis, the core challenges of data processing lie in noise suppression and feature extraction. Taking fluorescence spectroscopy as an example, while photomultiplier tubes (PMTs) offer single-photon-level sensitivity, they are susceptible to dark current and thermal noise interference. By integrating time-correlated single-photon counting (TCSPC) algorithms, fluorescence lifetime decay curves can be constructed, elevating the resolution of molecular processes in biological samples to the picosecond level. Longevity testing of a brand's quantum dot display materials demonstrated that this technology improved the signal-to-noise ratio by 25dB, providing reliable foundations for color persistence evaluation.
In industrial inspection scenarios, CMOS array detectors paired with deep learning algorithms achieve intelligent identification of display panel defects. A panel manufacturer employed a convolutional neural network (CNN) model to train spectral data collected by multi-channel detectors, achieving 98.2% accuracy in metal foreign object classification and boosting detection throughput to 1,200 pieces per minute. More notably, quantum dot spectrometers utilize principal component analysis (PCA) to reduce complex spectral data to three principal components. This transforms material composition identification from minutes to seconds, providing an efficient analytical tool for display material R&D.

Technology Convergence: From Laboratory to Industrialization
The integration of multi-channel photodetectors with intelligent algorithms is driving the transformation of display spectral analysis from scientific instruments to industrial equipment. A portable spectrometer developed by a company integrates a 1024-channel PDA array with an embedded AI chip, completing display panel color gamut coverage testing within 0.1 seconds while reducing device size by 80% compared to traditional instruments. In automotive displays, graphene-enhanced photodetectors paired with heat pipe cooling systems maintain spectral stability for HUD (Head-Up Display) devices across temperatures from -40°C to 85°C, enhancing autonomous driving safety.
As display technologies evolve toward Micro LED and quantum dot-OLED, photodetectors' multi-channel data acquisition and processing capabilities will continue upgrading. In the future, ultra-high-speed detector arrays based on graphene's plasmonic effects are expected to enable spectral analysis in the terahertz frequency band. Meanwhile, the integration of photonic chips with neuromorphic computing will reduce spectral data processing energy consumption by 90%. These breakthroughs will provide stronger technological support for cutting-edge fields like ultra-high-definition displays and flexible electronics, propelling the display industry toward greater intelligence and precision.