In a biochemical laboratory, the use of JMP scripting language can help researchers at three levels: individual, laboratory, and cross-departmental. If researchers have a large amount of data of the same type to process, they can edit simple script tools to handle repetitive work , including data sorting, drawing, and calculation. Such scripts are very simple to make. Each time a few parameters are changed in the script, they can be used on different data, which can save a lot of personal work time. The second level is to use the script tool to create a laboratory toolbox Addin for colleagues with the same data processing needs. It can achieve rapid data visualization and data analysis automation, assist researchers in processing data, investigate problems encountered in experiments, causes of experimental failures, etc., save work time and laboratory resources, and speed up problem solving. The scripts of the first two applications are mainly based on data. The third level is to use the JMP scripting language to create a log template to realize automated writing of experimental plans, data analysis, and one-click generation of experimental reports. Researchers need to write a large number of experimental plans, analyze data, and write experimental reports. Experimenters in different laboratories need to read and understand experimental plans, do experiments, and hand over experimental data to researchers for analysis and reporting. Templated experimental plans make it easier for experimenters to understand experimental designs. Laboratory personnel, whether familiar with data analysis or not, can easily complete the experimental report, greatly improving the success rate of experiments and the efficiency of cross-departmental cooperation.
