Data and Code for "Probing the Depths: Experimental and Simulated Insights into Nanoscale AFM-IR Imaging of Complex Heterogeneous Structures"

This record contains a docker image for data evaluation of AFM-IR data for our publication 'Understanding the resolution and sensitivity in photothermal nanoscale chemical imaging - a point spread function approach'. The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Figure preparations.ipynb'. To run the container (requires docker): 1.download 'container.tar.gz' 2. in the command line, execute 'docker load -i pillars.tar.gz'. This will return something like 'Loaded image: <image_name>' 3. then 'docker run -p 8888:8888 pillars:latest jupyter notebook --ip 0.0.0.0 --NotebookApp.default_url=/lab --port 8888' 4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation In addition to running the container, files can be accessed directly in the files.zip folder. The contens of this folder are described in README.txt.本数据集包含用于我们发表的论文《光热纳米尺度化学成像的分辨率与灵敏度研究——基于点扩散函数方法》（英文原标题：Understanding the resolution and sensitivity in photothermal nanoscale chemical imaging - a point spread function approach）的原子力显微镜-红外（AFM-IR）数据评估所用的Docker镜像。用户可通过运行容器并通过浏览器访问其中内置的Jupyter Lab来开展评估工作，相关计算代码收录于"Figure preparations.ipynb"文件中。 容器运行需提前安装Docker，具体步骤如下： 1. 下载"container.tar.gz"压缩包； 2. 在命令行执行命令`docker load -i pillars.tar.gz`，执行完成后将返回类似`Loaded image: <image_name>`的提示信息； 3. 随后执行命令`docker run -p 8888:8888 pillars:latest jupyter notebook --ip 0.0.0.0 --NotebookApp.default_url=/lab --port 8888`； 4. 命令行将出现一条以`http://127.0.0.1:8888/lab?token=...`开头的链接，在浏览器中打开该链接即可访问评估环境。 除直接运行容器外，用户还可直接访问"files.zip"压缩包中的文件，该压缩包的内容说明可参见"README.txt"文件。