TiffCropper

Standalone Windows application to extract high-resolution ROIs from large TIFF microscopy images while preserving calibration metadata.

Windows 10/11 TIFF/WSI ROI No Python required

Overview

Designed for digital histopathology researchers who need precise crops from large TIFF files, keeping calibration metadata (resolution, physical size) intact.


Key features

  • Browse any .tif/.tiff file
  • Coordinate-based ROI input (X, Y, Width, Height)
  • Custom suffix for output naming
  • Portable executable (no installation)

Quick start

  1. Click Browse TIFF and select a .tif/.tiff file.
  2. Enter ROI coordinates: X, Y, Width, Height.
  3. Set a suffix (optional) and click CROP & SAVE.

Output is saved in the same folder as the original file, using: {original}_crop_{suffix}.tif

Coordinate system

The image is treated as a matrix: X is the column index (left→right), Y is the row index (top→bottom). Width/Height define the ROI size in pixels.


Troubleshooting

  • No file selected: ensure the TIFF is not open in ImageJ/Fiji.
  • Cannot read dimensions: verify the file is a valid TIFF.
  • Access denied: run as Administrator or move the source to a writable folder.

Screenshots

Visualization of the tool.

TiffCropper UI