光譜

These stimuli-switchable nanoparticles coated with the cleavable outer polymer coatingmultifunctional peptides may afford a new platform for anticancer drugmiR. These nanoparticles possess characteristics of environmental response, active targeting,gene/chemo combinatorial therapeutics, thus providing spatiotemporal control of posttranｓｃｒｉｐｔional gene regulation, smart nuclear/mitochondrial localization,simultaneous inhibition of multiple progression pathways of tumor cells for enhancing antitumor efficacysafety of cancer therapy.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

We have successfully developed a multiphoton-induced hyperspectral microscopy based on a 1064 nm femtosecond excitation source. Nonlinear excitation by the laser localized to the focal point allows efficient non-descanned detection (NDD) while achieving optically sectioned imaging. The use of 1064 nm laser excitation increases the imaging depth while minimizing sample damage. The system combines the advantages of NDD for 3D imagingrich spectral information through confocal hyperspectral imaging, leading to potential applications in the emerging material R&Dbiomedical research.

ULF Raman spectroscopy utilizes novel VHG filters to spectrally clean up the laser line before ULF Raman spectroscopy is measured with a single grating spectrometer in conjunction with CCD camera. The availabilityaccessibility of UFL Raman spectroscopy opens new opportunity to reveal key information such as intermolecular structure characterization, pharmaceutical polymorph identification,material phaseinterfacial structure determination.

An intelligent multi-wavelength lighting system was developed and the wavelength and brightness of the lighting system can be adjusted for clinical use by physicians. It is also equipped with several functions such as reminder of lighting, parameter records of use time, lighting brightness and wavelengths. The systems could help the patients adjust the physiological parameters based on the deployment of lighting system. The using lighting parameters would upload to the data base in cloud, and which can compare with the psychological evaluation parameters for treatment physical impact analysis in hospital. With the lighting system, the problem such as poor sleep quality can be greatly improved, and the occurrence probability of mild cognitive impairment and dementia can be deferred.

Photonic_Workshop@CCMS.NTU has successfully developed a motorized micro-mapping system to explore and navigate samples. This system is able to acquire high resolution images to produce a sample map automatically. This map is also synchronized with the coordinates of motorized stages. This achievement allows users to explore and position their hotspots from the map, and precisely deploy the hotspot to the central field of view by motorized stages. In addition, this mapping system can combine with a laser scanning confocal spectral microscope (LSCSM) to acquire sample spectral mapping. Our result has shown the capability to improve the efficiency of hotspot positioning and data acquisition process.

Integrating deep learning, 3D information analysis, hyperspectral analysis, computer vision analysiscombined the multi-source images to develop fruit quality monitoring techniques, including: planting area monitoring, position monitoring, yield monitoring, harvesting time prediction, fruit maturity measurement, fruit quality testing, to achieve the goal of enhancing industrial value.

The long trace profiler (LTP) can be used to measure the figureintermediate frequency roughness of an X-ray mirror. The measurement process is accurate, high-speednon-contact. The radius of curvature for the measurement may be ranged from a value from 5 m to infinity, such that the surface profile feature can be measured in the range with a longitudinal resolution of 0.15 nm.

"In this project, the proposed technologies of Environment Sensing Hub including： (1) Air sensing hub：integrate H/T/P sensor, PM 2.5 sensorwireless multiplexing module for system-on-package (SiP)system-on-chip (SoC) (2) Water sensing hub：heavy metal ion sensor (modules integration, startup company), spectrochip (systems integration, startup company)"

The developed innovativegreen electrolyzed catalysis (EC) system can generate high concentrations of hydroxyl radical (OH·)nanobubbles, which can remediate TPH-contaminated soilgroundwater effectivelyeconomically. The EC system applies high voltagehigh electric fielduses direct current to change the structure of water molecular. Under activities of high voltagecatalystselectrolysis reactions, the electric discharges can produce EC water containing ·OH for TPH oxidation without secondary pollution. Nanobubbles can produce ·OH continuously after bursting.

The core technology includes lightweight UAV, heterogeneous sensor integration, obstacle avoidance, group flight automatic flight control, RTK precision positioning systemfruit tree 3D stereo modeling technology. The UAV can be used for 3D scanningspectral information collection. The information can use for fruit tree growth monitoring, nutrient analysis,fruit quality monitoring.

The Air/Ground cooperation for optimal rice harvesting model is established to provide a visual harvesting decision service on a cloud platform. Drones and mobile devices are employing to estimate grain moisture and forecast the variation of harvest moisture content (HMC) in the coming days by huge amounts of imagery data, deep learning algorithms, and weather forecasts. This model can benefit in several aspects, such as setting an accurate and comprehensive optimal harvest schedule, reducing the cost of agricultural apparatus and barn ovens, ensuring the rice quality, and maximizing farmers' benefits. The potential value of the model practice could be more than a billion in Taiwan.

We apply diffuse reflectance spectroscopy method to accurately determine the skin properties of subjects. Our device has a very simple configurationthe detected reflectance is processed with an advanced, efficient machine learning algorithm to quantify the skin composition of subjects.

Laser material recognition technologyintelligent color compensation lighting system, with AUV to realize the function of underwater rust detectionimage color restoration, real-time acquisition of rust information through spectral analysisdisplay of true rust color on the image, so that the algorithm can be accurate Determine the health of the cylinder. The vehicle will establish the health information of the wind turbine to help the inspector make the best maintenance strategymaintain the power generation efficiency of the wind turbine in the best condition.

Surface-enhanced Raman spectroscopy (SERS) is a useful analytical technique for detecting extremely small amounts of molecules. Herein, we designed a paper-based quasi-three-dimensional SERS substrate (P-SERS) that can provide potential to improve Raman analyses for food safety, pesticide poisoning, precision medicine, drug abuse and DNA/RNA testing. The sensitive, low-cost, flexible and disposable SERS substrate could be easily fabricated by physical deposition of gold nanoparticles array onto a filter paper. In this case, we are able to create non-continuous Au islands on the fiber surfaces, where the gaps between AuNPs can dramatically generate the high electric field to enhance Raman signal of target molecules.

By integration of professions including phytopathology, pesticides analysis, aquaticlivestock management, microbial fermentation, epidemiology,artificial intelligence, our interdisciplinary team jointly have developed microbial products for multi-industry applications including crop health care, circular agriculture, livestockaquaculture. The intelligent monitoring modelsmanagement technology for evaluating the efficacy of microbial products are implemented to provide key time pointdecision support for microbial products application,in turns to enhance the application efficacy. The developed microbial agentstechnology would greatly reduce the use of chemical pesticidesantibioticsenhance agricultural output valuemarket competitiveness.

Here we developed a fastgreen process of micro-plasma system for three-dimensional porous nanomaterials on low-cost paper substrates. The characteristics are low-cost, flexible,high-stability. It has three major applications, including increasing Raman measument, the detection process can be used with portable Raman spectroscopy for fast sensing,it can quickly analyze pesticides, food, drugs, etc. In addition, it can be equipped with boron nitride for high hydrogen productionhigh pollution biodegradationother applications.