Results Dashboard Overview
The Results Dashboard allows you to access the content of the segmentation jobs you have ran containing tools to review, export, and graph the analysis results, organizing your populations and comparisons in several ways.
The Results Dashboard is organized into several widgets, which help you to evaluate and compare/contrast results.
Top-level widget - this contains Job information, Group, Filter, and Actions columns.
  1. 1.
    Job info has information related to this particular result. It includes the AI module and parameters used to generate the result.
  2. 2.
    Group - this shows you the treatment groups present in the analysis file. Next to each treatment group inside the parenthesis, you will see the number of images present in the group. You can also click and unclick to view the results corresponding to each treatment group.
  3. 3.
    Filter (learn more) - this shows the population tree and allows users to view gated populations created by gating tools on Graphing window.
  4. 4.
    Actions allow you to download the results spreadsheet and masks in npz format and view the parameters used to run the analysis.
Segmentation data widget - this contains Graphing window on the left and an Image Viewer on the right, and on the bottom, it shows quantitative data for the selected object from the Image viewer and Graphing window.
  1. 1.
    Graphing window - allows you to graph data points in scatter plot and histogram formats.
    (1a) Below you can change X and Y axes on the scatter plot and X-axis on the histogram. We also display the ability to rename channels for images with color/fluorescent expression. (1b) On the scatter plot, you can also click on any object to view its quantitative metrics. Here we selected one cell on the scatter plot indicated in red.
  2. 2.
    Create filters (learn more) - this allows users to generate gated populations using several types of gating tools.
  3. 3.
    Image Viewer (learn more) - this is an interactive viewer that shows the images with outlines around objects (cells, tissue regions, cell types, etc.) and allows you to click into and edit objects (see Editing results).
Comparison data widget - this contains bar graphs with standard deviation and allows you to compare data between images and treatment groups. You can plot any metrics extracted during analysis depending on the AI model, including object count, area, morphological metrics, fluorescent intensity, etc. To select the metrics to be plotted on the Y axis, click on the dropdown menu.
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