FIJI (ImageJ): Background Correction of Fluorescence Images

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  • Опубликовано: 19 окт 2024

Комментарии • 20

  • @Patrick-bv7jp
    @Patrick-bv7jp 5 дней назад

    very helpful tutorial!

  • @yanzheliu9092
    @yanzheliu9092 4 дня назад

    Many thanks!!!!!💯

  • @asmaelaouina7047
    @asmaelaouina7047 Год назад +1

    Very informative video. Many thanks for your efforts!

  • @tomaszuspienski4833
    @tomaszuspienski4833 2 года назад

    Hi very comprehensive video, short and clear. Is an image processed in this way suitable for fluorescent measurement and for comparison with another image processed in the same way?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  2 года назад

      Hi @Tomasz. If images are acquired the same way (same acquisition parameters), post-processing prior to measurements are best done in a similar way. Thanks for taking the time to give me your feedback.

  • @mathewduguay2898
    @mathewduguay2898 2 года назад

    Great video! Are "background correction" and "background subtraction" synonymous? I always thought we needed those special coloured slides to image and work from.

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  2 года назад +1

      Hi @Mathew Duguay. Thanks for watching. Background correction and subtraction are used synonymously. They both mean correcting image defects mainly caused by uneven illumination in fluorescence microscopy post-acquisition. Fluorescent plastic slides are generally used during the acquisition process as a quick check on the uniformity of illumination and whether it is centered.

    • @mathewduguay2898
      @mathewduguay2898 2 года назад

      @@johanna.m.dela-cruz Oh I see. So the coloured slides are not imaged or used in processing. That's part of what I was confused about, I have these coloured slides but no procedure for correction or subtraction mentioned them. Thanks for clearing that up :)

  • @mathewduguay2898
    @mathewduguay2898 Год назад +1

    Hello! Can you do any kind of quantitative analysis after applying these methods, as long as the methods are applied uniformly over all samples?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  Год назад +1

      Hi Matthew. When quantification is required, background correction is good.

  • @johanna.m.dela-cruz
    @johanna.m.dela-cruz  3 года назад +1

    Remember, you can always do better!

  • @felinetropical8822
    @felinetropical8822 Год назад

    Can I perform deconvolution to an image if I had processed it with "background subtraction" or vice versa?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  Год назад

      Hi Feline. Deconvolution works best if images have high signal to noise ratio. Background subtraction does help to achieve this.

  • @huanyili9019
    @huanyili9019 2 года назад

    Hey, I like your video very much. How can I find some datasets to practice ?

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  2 года назад

      Hi HuanYi Li. Fiji/ImageJ has sample images (File>Open Samples) that you can use for practice. You can also check out other resources at www.cellimagelibrary.org/home.

  • @cristhiancampob
    @cristhiancampob 2 года назад

    Hii
    Omg please can u help me🥹 i cand do it. Even i cant download the ImageJ in the Mac. This week i have a presentation, please can u help me? Regards from Mexico

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  2 года назад

      Hi Cristhian. Send me an email. I’ll help you. By the way, you can download Fiji from here - fiji.sc/#. There’s a version for Mac.

    • @cristhiancampob
      @cristhiancampob 2 года назад

      @@johanna.m.dela-cruz Wow. In first place Thank u very much for answer me. Wow.
      2. Please give me ur mail account

    • @johanna.m.dela-cruz
      @johanna.m.dela-cruz  2 года назад

      @@cristhiancampob Check my “About” info in my channel.