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FPM app: a MATLAB application for Fourier ptychographic microscopy reconstruction

机译:FPM应用程序:傅立叶PTYCHOGURACTORCORCE重建的MATLAB应用

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One of the main limitations of optical microscopy is the fact that while increasing the resolution of microscopes, due to objectives mechanical constructions (large numerical aperture objectives has also larger magnifications), their field of view (FOV) is decreasing thus it is not possible to observe sample both in high resolution and large FOV. One of the techniques that can overcome this limitation is Fourier ptychographic microscopy (FPM), which combines information from many illumination angles to increase object image resolution. FPM hardware can be straightforwardly implemented (e.g. by placing LED array instead of illuminator in classical brightfield microscope), but it lacks proper open-source software, which is a barrier for non-expert users. In order to make FPM more accessible we present our recently proposed, simple, universal, semi-automatic and highly intuitive, open source graphical user interface (GUI) FPM application called the FPM app. Apart from implementing the FPM in approachable GUI app, we also made several modifications in the FPM image reconstruction process itself, that will make FPM more automatic, noise-robust and faster.
机译:光学显微镜的主要局限性之一是由于在增加显微镜的分辨率的同时,由于物镜机械结构(大型数值孔径目标也具有更大的放大率),因此它们的视野(FOV)是降低的,因此它是不可能的在高分辨率和大型FOV中观察样品。可以克服这种限制的这种技术之一是傅里叶PTYCHOGURACTORE(FPM),其将来自许多照明角度的信息组合以增加对象图像分辨率。 FPM硬件可以直接实现(例如,通过将LED阵列置于经典的BrightField显微镜中),但它缺乏适当的开源软件,这是非专家用户的障碍。为了使FPM更容易获得我们展示我们最近提出的,简单,通用,半自动和高度直观的开源图形用户界面(GUI)FPM应用程序,称为FPM应用程序。除了在平易近人的GUI应用中实现FPM,我们还在FPM图像重建过程中进行了多次修改,这将使FPM更自动,噪声强大,更快。

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