Numbered overlays provide a visible record of counting progress directly on the microscopy image. As each cell or feature is clicked, Fiji assigns a marker number and retains it on the display. The counter also separates tallies by marker type, helping users identify which structures have already been counted and reducing the risk of duplicate measurements.
Marker types let a single image support more than one counting category. Instead of treating every click as an undifferentiated total, the user can select a marker associated with the structure being recorded and then click the relevant cells or features. Fiji maintains counts for those marker types, organizing measurements when images contain distinct populations or marked structures.
Manual counts can provide a human-reviewed basis for developing or evaluating automated image-analysis methods. By marking cells directly in microscopy images, a researcher produces inspectable locations and recorded numerical totals. These results connect visual review with automated workflows, supporting training and validation while keeping the counted structures visible for comparison.
A basic workflow starts by opening the microscopy image in Fiji and choosing the counting marker or markers required for the analysis. The user then clicks each target cell or feature, while the plugin records the selected marker type and places numbered overlays on the image. The displayed markers help confirm that intended structures were counted once.
Counts can be used to examine changes in cell populations, tissue organization, or proliferation across developmental stages. Applying the counting workflow to experimentally generated microscopy images links stage-specific visual observations to numerical results. This allows developmental patterns apparent in tissue images to be represented as count-based measurements rather than remaining solely qualitative descriptions.
The tool is useful when researchers need a straightforward visual way to convert experimentally generated microscopy images into numerical data. It can support biological quantification, provide training in image-based counting, and help validate automated methods. Because numbered markers remain visible during analysis, the counting process can also be inspected while measurements are being produced.