The computer program "Histropy" is an interactive Python program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) using calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms. The histograms of these images display pixel-intensity values along the x-axis (of a 2D Cartesian plot), with the frequency of each intensity value within the image represented along the y-axis. The images need to be of 8-bit or 16-bit information depth and can be of arbitrary size. Histropy generates an image's histogram surrounded by a graphical user interface that allows one to select any range of image-pixel intensity levels, i.e. sections along the histograms' x-axis, using either the computer mouse or numerical text entries. The program subsequently calculates the (so-called Monkey Model) Shannon entropy and root-mean-square contrast for the selected section and displays them as part of what we call a "histogram-workspace-plot." To support the visual identification of small peaks in the histograms, the user can switch between a linear and log-base-10 display scale for the y-axis of the histograms. Pixel intensity data from different images can be overlaid onto the same histogram-workspace-plot for visual comparisons. The visual outputs of the program can be saved as histogram-workspace-plots in the PNG format for future usage. The source code of the program and a brief user manual are published in the supporting materials as well as on GitHub. Instead of taking only 2D images as inputs, the program's functionality could be extended by a few lines of code to other potential uses employing data tables with one or two dimensions in the CSV format.

翻译：计算机程序"Histropy"是一个交互式Python程序，用于对二维（2D）图像/图案（支持JPG/JPEG、PNG、GIF、BMP或基线TIF/TIFF格式）的选定特征进行量化。该程序基于图像数据的像素强度、其直方图以及用户选择的直方图区间进行计算。图像的直方图以x轴（二维笛卡尔坐标系）显示像素强度值，y轴表示图像中每个强度值的出现频率。图像需为8位或16位信息深度，且尺寸任意。Histropy通过图形用户界面生成图像的直方图，用户可通过鼠标或数值文本输入选择任意范围的像素强度级别（即直方图x轴上的区间）。程序随后计算所选区间的（所谓猴子模型）香农熵和均方根对比度，并将其显示在称为"直方图-工作区-图"的图形中。为辅助视觉识别直方图中的小峰值，用户可在y轴的线性显示与以10为底的对数显示之间切换。不同图像的像素强度数据可叠加至同一直方图-工作区-图中进行视觉比较。程序的视觉输出结果可保存为PNG格式的直方图-工作区-图，供后续使用。程序源代码及简要用户手册已发布于辅助材料及GitHub上。该程序不仅可输入二维图像，还可通过少量代码扩展至其他潜在应用，例如处理CSV格式的一维或二维数据表。