Quantification of Immunohistochemistry images using ImageJ | How to remove background in ImageJ

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  • Опубліковано 25 жов 2024

КОМЕНТАРІ • 39

  • @BiologyLectures
    @BiologyLectures  Рік тому

    To learn How to Count Cells Using ImageJ, Please go Through This Video:
    ua-cam.com/video/1PQprFZ2Byg/v-deo.html

  • @josedelgado1656
    @josedelgado1656 4 місяці тому +1

    for set measurements, why do you not select limit to threshold? Thank you for your amazing videos!

  • @Hari788
    @Hari788 3 роки тому +1

    Thanks a lot. I was looking for video which would help me to get rid of the background. Thank you so much for this.

  • @mosyoutubeanimals
    @mosyoutubeanimals Рік тому +2

    What do we do if its a fluorescent image where the background is black? Do we reverse the calibration, or do we invert the image for the OD measurement?

  • @gizemaktas3289
    @gizemaktas3289 2 роки тому +2

    Thank you so much, it was very helpful. Should we standardize the threshold for different images?

  • @VictorGabriel-qp2ez
    @VictorGabriel-qp2ez 2 роки тому +1

    Thank you for the video. I was wondering if you calibrated the software to perform the analysis

    • @BiologyLectures
      @BiologyLectures  2 роки тому +1

      We did not perform any calibration as such to perform the analysis.

  • @adoniscoleman4136
    @adoniscoleman4136 2 роки тому +1

    Hello, thank you for the video. I have some question:
    1. Did you use image J to process the image without counterstaining your IHC slide with Hematoxylin?
    2. Would you recommend not counterstaining in order to get less background?
    3. Have you used this method for other stains? Specifically I'm interested if this would work well for H&E and Masson's trichrome staining.
    Thank you.

    • @adoniscoleman4136
      @adoniscoleman4136 2 роки тому

      Hello,
      Also, do you think that cropping out more of the background surrounding tissue would result in a substantial decrease in the final calculated percent?

  • @prathyusharns9192
    @prathyusharns9192 Рік тому

    Hello.. can we use imagej software for morphometry

  • @rahelehroudi7379
    @rahelehroudi7379 Рік тому

    Hello there
    I should count double-positive cells (green and red) on Immunofluorescence staining. could you please guide me on how to do it using ImageJ?
    Thanks

  • @beneg.5000
    @beneg.5000 2 роки тому +1

    Thanks for the video!
    But did you notice, that the percentage in the result table is the same percentage as in the adjusted threshold? So you just measure the customized threshold, which does not seem like a good quatification...

    • @BiologyLectures
      @BiologyLectures  2 роки тому +2

      You are welcome. Yes, while adjusting you have to make sure that only the area that has been stained is appearing red not other areas, you have to be careful.

  • @dikshyapanthi7681
    @dikshyapanthi7681 3 роки тому +1

    Excellent. I needed this video ❤️

  • @johnny198536
    @johnny198536 2 роки тому +1

    Congrats for this very interesting video. Are there some papers that I can cite where this method has been used?

    • @BiologyLectures
      @BiologyLectures  2 роки тому +1

      Thank you very much. Please cite one of our papers where did analysis using this method: www.journal-of-hepatology.eu/article/S0168-8278(21)02006-7/fulltext

  • @snehalimajumder
    @snehalimajumder 2 роки тому

    What so you do for IF multiplex images ?

  • @freyja7334
    @freyja7334 2 роки тому

    Is there a method to quantify different cell types immunostaining in the same slide?

  • @jagadish5488
    @jagadish5488 3 роки тому +1

    Can we do H scoring using this software? if so can you make a video on that.

    • @BiologyLectures
      @BiologyLectures  3 роки тому

      We will get back to you on this as soon as possible.

  • @muhammadfattahbinfazel5518
    @muhammadfattahbinfazel5518 2 роки тому +1

    Hi, can I use the same method on rat's retinal IHC section? Thank you

  • @mtDNA_Refresh
    @mtDNA_Refresh 2 роки тому +1

    Hi I have a question. so, you cut out a false positive area because it shouldn't be quantified and yet the total area stayed the same, why did the %Area go up? Should not it have gone down?

    • @BiologyLectures
      @BiologyLectures  2 роки тому

      Hello there, You have to adjust the inensity of the red color in a way that it represents your original staining. Then everything will remain same, total area and also the area of interest.

  • @zoologistfatma1865
    @zoologistfatma1865 2 роки тому +1

    is there any protocol describing this method

    • @BiologyLectures
      @BiologyLectures  2 роки тому

      Please go through the complete video for the detailed explanation. Please feel free to ask any questions if you have. Thank you.

  • @almirstorck
    @almirstorck 2 роки тому

    Why discharge the colors? It would be easier to mesure the stained area in color...

  • @viktoriax8042
    @viktoriax8042 2 роки тому

    Thank you for the explanation. I have a question? How can we circumscribe total area , if I have other backgrounds that I don't want to be part of total area (I don't want them to interfere in calculating %). Thank you

    • @almirstorck
      @almirstorck 2 роки тому

      Crop the image keeping only area you want...

    • @viktoriax7228
      @viktoriax7228 2 роки тому

      @@almirstorck How to crop? It is not a regular image

  • @majdaelhassani4145
    @majdaelhassani4145 2 роки тому

    Hi, thank you for this amazing explanation.
    I would like to ask you please if the software is free online?

  • @beverridge
    @beverridge 2 роки тому

    Very long and not convenient at all

    • @BiologyLectures
      @BiologyLectures  2 роки тому

      Quantification in general is time consuming dear. We tried our best .