Rogalski Mikołaj, Zdańkowski Piotr, Trusiak Maciej
Institute of Micromechanics and Photonics, Warsaw University of Technology, 02-525 Warsaw, Poland.
Bioinformatics. 2021 Oct 25;37(20):3695-3696. doi: 10.1093/bioinformatics/btab237.
Fourier ptychographic microscopy (FPM) is a computational microscopy technique that enables large field of view and high-resolution microscopic imaging of biological samples. However, the FPM does not yet have an adequately capable open-source software. In order to fill this gap we are presenting novel, simple, universal, semi-automatic and highly intuitive graphical user interface (GUI) open-source application called the FPM app enabling wide-scale robust FPM reconstruction. Apart from implementing the FPM in accessible GUI app, we also made several improvements in the FPM image reconstruction process itself, making the FPM more automatic, noise-robust and faster.
FPM app was implemented in MATLAB and all MATLAB codes along with standalone executable version of the FPM app and the online documentation are freely accessible at https://github.com/MRogalski96/FPM-app. Our exemplary FPM datasets may be downloaded at https://bit.ly/2MxNpGb.
Supplementary data are available at Bioinformatics online.
傅里叶叠层显微镜（FPM）是一种计算显微镜技术，可对生物样本进行大视野和高分辨率的显微成像。然而，FPM尚未有功能足够强大的开源软件。为了填补这一空白，我们展示了一款新颖、简单、通用、半自动且高度直观的图形用户界面（GUI）开源应用程序，称为FPM应用程序，可实现大规模稳健的FPM重建。除了在易于使用的GUI应用程序中实现FPM外，我们还在FPM图像重建过程本身进行了多项改进，使FPM更加自动化、抗噪声且速度更快。
FPM应用程序是在MATLAB中实现的，所有MATLAB代码以及FPM应用程序的独立可执行版本和在线文档均可在https://github.com/MRogalski96/FPM-app上免费获取。我们的示例性FPM数据集可在https://bit.ly/2MxNpGb上下载。
补充数据可在《生物信息学》在线获取。
