Quantifying bands on SDS-PAGE using ImageJ

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  • Опубліковано 24 січ 2025

КОМЕНТАРІ • 41

  • @EAli-ec1xp
    @EAli-ec1xp 3 роки тому +1

    Thank you very much. Can this method apply on western blot anlysis??

    • @RahulPatharkar
      @RahulPatharkar  3 роки тому +1

      Yes, you can apply this method for Western blots.

  • @suckmemore
    @suckmemore Рік тому

    for years I have seen ppl use "Analyse --> gel --> plot lane tool" method for quantification.
    I think I like this one better!

  • @murakamidarwish76
    @murakamidarwish76 8 місяців тому +1

    Can I use a SDS's picture from my smartphone camera to apply this method? Or I need to take a picture of SDS from specific machine?

    • @RahulPatharkar
      @RahulPatharkar  8 місяців тому +1

      A carefully taken image from your smartphone can work well.

  • @vu6812
    @vu6812 3 роки тому +2

    Great video! Is there a way I can measure the background? I try to subtract the background to get a better purity % for my protein. I selected the well it was empty and measured it. But the area number was almost as high as with my protein well. Do you have any suggestions? Thanks

    • @RahulPatharkar
      @RahulPatharkar  3 роки тому +1

      Yes you can and there are a number of ways to do it. One way would be to simply measure and appropriate area of your gel image that you think could be the background with imageJ just as you measure bands. Then in Excel subtract that value from your actual bands. I hope this helps.

  • @MonaraKaelle
    @MonaraKaelle 4 роки тому +2

    Thank you very much for sharing that. It helps us a lot.
    I have some questions:
    - why dont you use Analyse --> gel --> plot lane tool?
    - if I understood well, each fraction represents one sample with different proteins run, including urease. In your case, you compare urease:lane ratio among fractions. Whether the brightness of lanes changes, the proportion of urease changes as well. So, do you want to analyse how much urease changes according to other proteins in the fraction? Or do you want to compare only urease quantities among fractions without interference of other bands brightness (other proteins)?
    - Why don't you normalize by reference band (actin, GAPDH...)?
    Again, thank you! :-)

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому

      I not sure I follow. How would plotting the entire lane help us get the intensity of a single band?

    • @MonaraKaelle
      @MonaraKaelle 4 роки тому +1

      @@RahulPatharkar I guess that I didn't understand neither hahah. You do a relative signal of urease to the rest of the lane. In this case, what is the the goal of such measurement? I don't understand very well because urease as well the other proteins in the lane can vary among them.

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +2

      @@MonaraKaelle The goal is to quantify the amount and relative purity of the urease enzyme after gel purification steps. I hope this helps.

    • @MonaraKaelle
      @MonaraKaelle 4 роки тому +1

      @@RahulPatharkar Yes, It did. Thank you very much. I suggest put that on description of the video.

  • @thiagooliveira4035
    @thiagooliveira4035 5 років тому +3

    Thanks for the video.
    What do I do when the IntDen value exits the same as RawIntDen?

    • @RahulPatharkar
      @RahulPatharkar  5 років тому +5

      Thiago, that will happen when no "Set Scale" (in Analyse Menu) is set. Many images from scanners will have a scale associated with them, like 300 pixels/inch. If this is not specified, IntDen and RawIntDen will be the same. You can manually set the scale by going to "Set Scale". For relative quantifications it is not necessary to set the scale. I hope this helps.

  • @ivnazg1
    @ivnazg1 4 роки тому +1

    is it necessary to invert the photo so the background is black and bands are white? What is the difference between IOD and optical density calculated by plotting the peaks and mark then manually?

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +2

      Inverting the image makes bands have positive signal values (black = zero). For your second question, please explain further what you are asking about "plotting the peaks and mark then manually".

    • @ivnazg1
      @ivnazg1 4 роки тому +2

      @@RahulPatharkar In available videos on UA-cam covering this topic, bands are marked with the rectangle tool, like in this video, but then with functions analyze - gels - plot lanes, peaks are plotted which represent the signal (density) of specific band. In this video, density is obtained simply with measure function, without plotting peaks.

  • @karlabarron1454
    @karlabarron1454 4 роки тому +2

    ¡Hello good day!
    I liked the video, but I have a question. In case the image is from PCR products, is the same procedure done to quantify?

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +3

      Yes, you can do exactly the same thing for PCR products on agarose gels. Thanks and all the best.

  • @tessiaw.3196
    @tessiaw.3196 5 років тому +2

    Thank you so much for the video, it really helped me! :)

    • @RahulPatharkar
      @RahulPatharkar  5 років тому +1

      You are very welcome. All the best, Rahul

  • @Faisal.Alqhtani
    @Faisal.Alqhtani 9 місяців тому

    Thank you so much; you have helped me a lot.

  • @Kendra_Cc
    @Kendra_Cc 2 роки тому

    thank you for the video. I have a question, if i have a few gels for measurements and comparison, how do i standardise the baseline intensity for all of the bands in these gels?

    • @RahulPatharkar
      @RahulPatharkar  2 роки тому

      It is best practice standardize the baseline for each gel separately because there are often small differences in staining background and image capture for each gel. To get a baseline, draw a measurement box on a blank area of the gel that has the same size as the box you would put over the band (move the box with the cursor keys so that the box is identical). Subtract the background measurement from the band measurement.

  • @sasha8181
    @sasha8181 4 роки тому +1

    What does integrative density measure?

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +3

      Basically it is measuring the intensity of the image feature you have selected which in this example is band intensity. I hope this helps.

  • @ProfBeckmann
    @ProfBeckmann 4 роки тому

    Awesome Video! Keep up the good work.

  • @diyana4933
    @diyana4933 4 роки тому +1

    are those bands in lane 1-6 are purified bands?

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +2

      Lanes 1-6 are fractions from a gel filtration column. The bands are only partially purified.

    • @diyana4933
      @diyana4933 4 роки тому +1

      @@RahulPatharkar ok thank you very much!

  • @aritin5259
    @aritin5259 4 роки тому

    Hi there! How could I apply this to a TLC, multicolored sample? I really only need to quantify the “white” areas so should I measure the white areas individually? Or is there a way to black out everything else but the white areas? Thanks for the great video!

    • @RahulPatharkar
      @RahulPatharkar  4 роки тому +1

      You should be able to use exactly the same principles for TLC band quantification. Convert you image to black and white then invert your image if necessary so that your bands are white. Just watch all of the steps in the video and I think your problem will likely be doable. I hope this helps.

  • @paulabulieris7515
    @paulabulieris7515 Рік тому +1

    Very helpful.

  • @kxhcjxbg205
    @kxhcjxbg205 2 роки тому

    Hi Which software is best and why image j or gel analyzer for anlyzing gel i want quick response i m very worried can anyone help me plz in this difficult time.

    • @RahulPatharkar
      @RahulPatharkar  2 роки тому

      Image J is free and it works.

    • @kxhcjxbg205
      @kxhcjxbg205 2 роки тому

      @@RahulPatharkar Another reason??

    • @RahulPatharkar
      @RahulPatharkar  2 роки тому +1

      @@kxhcjxbg205 All gel image analysis programs do the same thing so free is an important reason. Also, image J has more plugins for scientific image analysis than pretty much any other program.