An advanced software suite for the processing and analysis of silicon luminescence images

Luminescence imaging is a versatile characterisation technique used for a broad range of research and industrial applications, particularly for the field of photovoltaics where photoluminescence and electroluminescence imaging is routinely carried out for materials analysis and quality control. Luminescence imaging can reveal a wealth of material information, as detailed in extensive literature, yet these techniques are often only used qualitatively instead of being utilised to their full potential. Part of the reason for this is the time and effort required for image processing and analysis in order to convert image data to more meaningful results. In this work, a custom built, Matlab based software suite is presented which aims to dramatically simplify luminescence image processing and analysis. The suite includes four individual programs which can be used in isolation or in conjunction to achieve a broad array of functionality, including but not limited to, point spread function determination and deconvolution, automated sample extraction, image alignment and comparison, minority carrier lifetime calibration and iron impurity concentration mapping.发光成像（Luminescence imaging）是一种通用的表征技术，可应用于广泛的科研与工业场景，尤其在光伏领域中，光致发光（photoluminescence）与电致发光（electroluminescence）成像常被用于材料分析与质量管控。正如大量文献所述，发光成像能够揭示丰富的材料信息，但这类技术往往仅被用于定性分析，未能充分发挥其全部潜力。造成这一现状的部分原因在于，将图像数据转化为更具实用价值的结果，需要耗费大量时间与精力进行图像处理与分析。本研究提出了一款定制开发、基于MATLAB的软件套件，旨在大幅简化发光成像的处理与分析流程。该套件包含四个独立程序，既可单独使用，也可组合运行以实现丰富的功能，包括但不限于：点扩散函数（point spread function）测定与反卷积（deconvolution）、自动化样本提取、图像配准与比对、少数载流子寿命校准以及铁杂质浓度测绘。