光譜學為二十世紀以來最重要的科學之一，站有舉足輕重的地位。在食品安全、生物醫藥、環境監測、天文學等領域中應用，運用光學原理可以無損地對物質的結構和組成進行定性、定量的分析。由於傳統的光譜儀體積大、價格昂貴，且較不利於在現場、實時、快速的應用需求，因此光譜儀的微型化已是大勢所趨。
基於MEMS（微機電系統）技術製作出微型光譜核心晶片，其結構包含光學接收狹縫、凹面光柵、高反射率膜鏡面。此次實驗使用樹莓派及樹梅派鏡頭模組、微型光譜核心晶片、光學鏡頭以及本論文自行開發的光譜儀程式來實做一套光譜晶片檢測系統。
樹莓派是一款基於Linux的單晶片低價電腦，本文中使用樹莓派（Raspberry Pi）做為開發板來替代一般電腦，並使用Python程式語言設計出一個光譜儀介面程式，包含光譜影像擷取、灰階化、影像的儲存等功能，藉由樹莓派操作此光譜儀介面程式來讀取的光譜數據，再利用存取匯出的數據作分析後可得到各波長之半高全寬、波長校正等資訊。
透過此系統的軟體程式可以看到光譜儀之全幅影像，此功能可更方便且更準確的選取特定ROI區域取波段位置。並且程式具有儲存波長校正之功能，可以記錄不同光譜晶片的波長校正數值，因此當更換光譜晶片後可不需重複計算波長校正。

Spectroscopy is one of the most important sciences in 21th century. In multiple domains such as food safety, life sciences, environmental analysis and astronomy, applying spectral analysis enables a qualitative and quantitative, nondestructive analysis of material structures and components. Traditional spectrophotometers tend to be bulky and expensive. The price also out of the reach of most users and do not lend themselves to real-time applications. As such, the miniaturization of spectrophotometers is trending.
This thesis presents a system using Micro Electro Mechanical Systems (MEMS) technology to produce a micro-spectral chip. Its structure consists of entrance slit, concave grating, high-reflection facet coating mirror. In our experiment, we developed software and created micro spectrum detection system consisting of micro-spectrometer, Raspberry Pi, Non-Telecentric Lens and Raspberry Pi camera module.
Raspberry Pi is a Linux-based single-chip low-cost computer. Raspberry Pi is a Linux-based single-chip low-cost computer. In this experiment, Raspberry Pi is used as a development board to replace the larger and more costly computer. We also developed a spectrometer interface software, including spectral image capture. The software is using the Python programming language. The spectral image capture includes functions such as fetching, gray scale, image storage, etc. The spectrometer interface allows the program to read the spectral data from the Raspberry Pi, and provide the end user with exported data for analysis. End users can get the full width at half maximum of each wavelength, wavelength correction, and other information.
In our system, we can observe the full-frame image of micro-spectrometer, this feature enables us to get the ROI-region of certain area of spectrum more accurately and conveniently. Aside from this, we save the calibration information of different micro-spectrometer in our system so we can save the calculation when we switch the micro-spectrometer.

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