FIJI (ImageJ): Background & Shading Correction of Brightfield Images

[@learningr9219]

I wish I could press the LIKE button a billion times. Thank you very much. This is the video exactly what I was searching for.

[@johanna.m.dela-cruz]

Thank you, @LEARNING R. I’m grateful that you’ve watched this video…and even happier that you are learning from it. Hope you follow my series. 😊

[@dawidkrzykawski916]

Awesome! Thanks for your hard work!

[@ihorabsent1280]

Excellent tutorial and the music you've put in make it even more enjoyable, thank you!

[@johanna.m.dela-cruz]

Thanks for listening, watching and learning, @ihorabsent1280.

[@marcelnaumann3160]

Shout out for this great work!! Many thanks for sharing your knowledge!

[@johanna.m.dela-cruz]

Thanks, @Marcel Naumann. I’m glad for the opportunity to help.

[@mcastro2157]

Muchísimas gracias!!! Lo que buscaba

[@job506]

Johanna, you are amazing! Many thanks!!

[@johanna.m.dela-cruz]

Thank you, @JOB. You just made my day.

[@dawsontaylor6008]

Amazing content, thank you so much. Had a question about the horizontal/vertical stripes issue in the video. Is this due to lighting issues and stitching two images together? I’m currently getting all kinds of theses lines in a grid on my mosaics. Thanks again

[@johanna.m.dela-cruz]

Thanks for watching, Dawson. The visible edge artefacts that occur between neighbouring tiles are casued by illumination differences. The brightfield stitched image used in the video clearly has an uneven background due to shading distortion caused by uneven illumination during image tiling.

[@johanna.m.dela-cruz]

Remember, you can always tune the manual parameters to get better looking images .

[@job506]

What's the Rolling ball radius for 8-bit images, please?

[@johanna.m.dela-cruz]

@JOB, for 8-bit or RGB images, the rolling ball radius should be at least as large as the radius of the largest object in the image. You can use the line tool to find the radius of that object. In practice, you can just check the Preview box to find the best radius. Too large values usually don't fix an uneven background, while too small values can lead to the loss of some features of your image.