30 min Introduction to Fiji/ImageJ for bioimage/microscopy analysis.

To download the Fiji software, please proceed here:
There is also a practical sheet associated with these slides.
Here are the images you will need to complete the exercises:

[thaddeusbashaw]

Learning Fiji for an internship and this helped loads, thank you very much

[thenaturalhuman]

Thank you for the downloadable practice images🤓😁

[Stadtschwimmer]

This really answered some annoying to research questions i had!

[donTataf]

Hello, thanks for the helpful video.

I am new to the world of image processing. I will be starting a project to identify fungal spore cells from images taken of microscopy slides (fluorescent and/or polarized). The goal is to train a model which can identify spores between different fungal species. In my case, the spores of the two species of interest differ slightly by size and spore wall structure. Essentially, my end goal is to process thousands of images of spores with a working model (1. identify the spores on a slide image, and 2. determine the species based on known parameters unique to each species).

My apologies for the long winded inquiry, but any pointers or recommendations you could provide me would be immensely helpful. I am trying to determine different softwares and/or programs where this could be possible. Do you think this would be possible by only using Fiji and ImageJ or do I need to look into StarDist and Ilastik?

[ali_nawaz_khattak]

great intuition and well explained. Can I use your slides?

[shaileshvarade]

Hey, thanks for your video. It was wonderful to learn so much about ImageJ. I just had a query, how to measure the velocity of a rising bubble in any solution using Image J?

[andresrodriguez]

Do you happen to know how to stitch images without compromising the original image data integrity? for example, when analyzing fluorescence intensity from images of sections of a C. Elegans, when stitched, the intensity and pixelation changes, how can you control for that?

[sharavanakkumarsk]

Why the array of numbers represented in 2D

[sharavanakkumarsk]

How the single value on pixel determines 2 or more different colour on a single image