- This function specifically reads information from Zeiss CZI image file: https://www.mathworks.com/matlabcentral/fileexchange/58666-read-information-from-zeiss-czi-image-file
- This function reads multiple life science image formats including Zeiss CZI image: https://www.mathworks.com/matlabcentral/fileexchange/32920-imread-for-multiple-life-science-image-file-formats
Using CZI files within the Medical Image Labeler
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I have some CZI files I want to use within the medical image labeler app, but this not currently an accepted file format. What would be the best way for me to convert them into a format the app can read?
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Answers (2)
Madheswaran
on 12 Jul 2024
Hi Jason,
Based on my current knowledge, MATLAB supports the DICOM and NIfTI file formats. However, I have discovered that there are user-created functions available that might enable the processing of CZI files.
The Open Microscopy Environment has created a MATLAB toolbox meant for processing various microscopy images.
Hope this helps!
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Prasanna
on 25 Jul 2024
Some ways to convert CZI image to medical image labeller app compatible formats (DICOM) can be done using the following tools and plugins.
- ImageJ/Fiji with Bio-Formats plugin: you can download and install Fiji from the official site and convert CZI images to DICOM images directly using the toolbar present.
- Python with Bio-Formats and ‘Pydicom’ libraries: you can install required packages for python such as ‘aicsimageio’, and ‘pydicom’ and convert CZI to DICOM using the ‘FileDataset’ instance of the ‘pydicom’ library
- MATLAB with the Bio-Formats library: you can download the bio-formats plugin package for MATLAB, read and convert CZI files to DICOM by reading the CZI file, creating a DICOM metadata structure and then writing the image data to a DICOM file.
For more information on the above tools/packages, refer to the following documentation:
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