![]() ![]() ![]() detected mercury contamination in water using a smart phone 12, and Das et al, developed a wireless smartphone spectrometer for fruit testing 13. As a result, many research teams have developed mobile spectrometers 12, 13, 14, 15, 16. As an emerging imaging modality, the CCD/CMOS sensor in a mobile device provides efficient photoelectric conversion. Recently, considerable attention has been devoted to mobile devices because of their increasingly-sophisticated features. Not long ago, the spectrometer was restricted to laboratory applications due to its bulky size. The imaging spectrometer is composed of two primary components: the detection and diffractive optical imaging systems. This spectrally-resolved image, also called a multispectral/hyperspectral image, is a promising tool currently applied to numerous areas, including environmental monitoring 6, 7, 8, disease diagnosis 9, food quality control 10, ripeness testing 11, etc. Imaging spectrometers are appealing instruments that provide a spectrally-resolved image of an object 4, 5. In environmental monitoring fields, acquiring spectral and imaging information is essential to relate structure to function 1, 2, 3. We believe it has the potential to become a versatile tool for on-site investigation into many applications. Therefore, any camera can be upgraded to an imaging spectrometer with the help of our miniaturized module. Moreover, our system can be applied to many kinds of cameras, e.g., aerial camera and underwater camera. Based on the experiments we obtain 3D spectral image cubes, which can be further analyzed for environmental monitoring. Utilizing this lightweight module, as well as commonly used photographic equipment, we demonstrate its utility through a series of on-site multispectral imaging, including ocean (or lake) water-color sensing and plant reflectance measurement. In this paper, a mobile device-based imaging spectrometer module (weighing about 99 g) is developed and equipped on a Single Lens Reflex camera. For instance, CMOS chips in smart phones and digital cameras serve as excellent sensors for scientific research. Lately, recent innovations in mobile device platforms have led to an upsurge in on-site rapid detection. Spatially-explicit data are essential for remote sensing of ecological phenomena. ![]()
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