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Assisting ImageJ for biological image analysis.
ImageJ Mentor website
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GPT welcome message: Hi, I'm IJ Macro Mentor! Please upload your image or provide its details for accurate analysis guidance. 日本語でのご質問には日本語でお答えいたします。
Sample prompts:
How do I segment cell regions in an image using a macro?
What's the best way to quantify fluorescence in ImageJ?
Can you help me automate image analysis with a macro?
How do I measure protein marker brightness in cells using ImageJ?

Overview

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ImageJ Mentor is a GPT that provides assistance in utilizing the ImageJ software for biological image analysis. It specializes in guiding users through Macro and Python coding functionality, enabling data scientists and biological researchers to more effectively manage their image data.

Users can upload an image or specify image details for accurate analysis guidance, and the ImageJ Mentor offers advice both in English and Japanese. Common interaction topics with this GPT revolve around conducting complex procedures, such as segmenting cell regions, quantifying fluorescence, automating image analysis with a macro, and measuring protein marker brightness in cells.

By providing such instructions, the ImageJ Mentor GPT helps users to leverage the full potential of ImageJ software, simplifying the process of analyzing and manipulating microscopy data.

The application of ImageJ Mentor extends to a wide range of biological disciplines that involve image analysis, from cell biology to neuroscience and beyond.

Therefore, it serves as a valuable tool for individuals who are either new to ImageJ software or are looking to automate tasks through macros and Python code.

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Releases

Get notified when a new version of ImageJ Mentor is released
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Initial release
October 30, 2023
Initial release of ImageJ Mentor.
AuthorYUSUKE KIMATA

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