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3. Understanding the status quo: Tissue clearing and fluorescent imaging techniques have revolutionized protein expression analysis in whole specimens. By immunostaining for immediate early genes like c-Fos, we get a comprehensive view of neuronal activity.
4. But there are challenges: Current methods often lack sensitivity and specificity, and while deep learning offers solutions, it requires a lot of training data. Moreover, many of the existing deep learning methods aren't user-friendly for biologists.
5. Introducing DELiVR - our answer to these challenges: a deep learning solution for brain-wide cell analysis, it uses a more accurate and faster VR-based annotation and comes with a user-friendly FIJI plugin.
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