Nice tutorial, helped me a lot to get first results and start to understand the basic concepts. After that it was much easier to try around with other settings. Thanks!
nice explanation, it's very useful, thank you. one point just added, you don't need to write micrometer in word and copy from there, you can write um in imageJ, um will be taken as micrometer
It was a clear explanation. Thanks. The only improvement that you can do is that burning a scale bar onto your image via microscope software and then apply "set scale" using the scale bar on your image. I believe 1024 pixels does not equal to 175 um every time. By the way, you can write "um" rather than using the symbol of micron. ImageJ will accept um as micrometers automatically.
Sir will you help me for some image processing, related to trichome (hair like structure on leaf) counting ? I am trying but not getting proper results.
Dear Abhijeet, We chose 1024 & 175 because our captured optical microscopy image width is 1024 pixels which =175 μm. We determine this number through image calibration and changes according to optical magnification.
Thank you for the video! I'm wondering, what version of the ImageJ software do you use? In my version, I don't have the option to overlay outlines in Analyze Particles window...
Thank you for the video, I still don't understand one things though, what is the difference between making an image binary and using image thresholding? In my case I want to measure canopy cover, and when I make an image binary, the leaves and branches turn black and background white. Does thresholding bring more accuracy?
Dear M F, Binary image pixels have only two possibilities black or white. This makes life easier during image processing because we have to track either white or black pixels. If you have color image then there are varieties of pixels such as red, blue, green, etc which makes image processing relatively difficult. By the way, if you have already a black & white image then no need to change it.
@@chakraprasadjoshi Ah ok I think I understand. No I have coloured images, but I was changing them to B&W using binary. I see that when I play around with thresholding, I get a bit more accuracy. But I have a few photos with the sun in the back and then I get the same problem as in your video with either everything become white, or everything becoming black. So I will try your second method with the filter. Thank you!
A.N. Hofmann I was referring to the software recognising um automatically as a micron and changing it for you, rather that the authors method of copying it over from word like on the video.
Could you please explian to me how did you decide to put the number 175 micron? because I used one of the online units converter and it gave me that each one pixel =264.58 micron
Dear Enaam, we have measured the standard object first to know the frame width in micron. In our case, 1024 pixels = 175 micron. This value changes according to lens magnification.
Hi, Thank you so much for your reply. I don't understand exactly how did you measure the standard object. However, my scale bar is 500 micron and I took pictures for my samples under 40x lens. Hopefully these information are helpful for you to help me finding out the values I should put in the imagej (1599*1200 pixels).
Hi enaam, we used micron ruler for calibration. You may use some known objects (micro size) and then calibrate your image.By the way, 500 μm corresponds to your entire image width (from left to right) or a part?
Hello Friend I need your help to define the diseased area in Crown rot disease. this disease is a fungus disease affect wheat plant root and crown area. it turns the colour into brown . I want to use image J to define the area and be able to distinguish diseased plant from non-disased one. would you be able to guide me how to do that with image J Thanks in advance
Nice tutorial, helped me a lot to get first results and start to understand the basic concepts. After that it was much easier to try around with other settings. Thanks!
watch at 2X speed
nice explanation, it's very useful, thank you. one point just added, you don't need to write micrometer in word and copy from there, you can write um in imageJ, um will be taken as micrometer
Thank you Maliha for your kind support.
What a impressive explanation 👍✨... Thank you so much for the video 😊👍
I am a researcher at University of Maine and this was very helpful to teach me threshold when binary does not work. Thank you very much!!!
Very informative video and to the point. Thank you sir...
Thank you very much! Find this is useful for my lab report!
Very nice explanation.. I really find it very useful and clear instructions. I used in cement SEM analysis.
It was a clear explanation. Thanks. The only improvement that you can do is that burning a scale bar onto your image via microscope software and then apply "set scale" using the scale bar on your image. I believe 1024 pixels does not equal to 175 um every time. By the way, you can write "um" rather than using the symbol of micron. ImageJ will accept um as micrometers automatically.
Dear Jedihakan,
You are right. Thanks for the useful comment.
thank you so much for this video, it´s so informative
Wonderful clear explanation. Though it will look a bit slow in the initial. You will feel it comfortable as the video goes forward.
Thanks! This really hepled a lot :)
Could you please explain that, why did you write 175 for known distance
Thank you. It was helpful ☺️
Very good, thank you! greetings from Germany!
Excelent video.
Thank you
Thank you for this video, it definitely helps, but what do you do with the information? do you graph it? and what is the best way?
VERY NICE VIDEO...Can u pls make video on calculating vessel density
Thank you so much, You saved me so hard
So cool! Thank you very much
Good thorough presentation-thank you. Do you have any idea how the incomplete edge-islands can be identified?
nice concept. can u explain the how automated cell number counting can be done on an IHC slide using Image J
Hiiiiii. Nice video
Dear sir, can we calculate the length of nanowire using image threshold method ?
Sir will you help me for some image processing, related to trichome (hair like structure on leaf) counting ? I am trying but not getting proper results.
How to calcukate percent of shaddow of any photo?
Why u Choose set scale pixel of 1024 & 175 ??
Dear Abhijeet,
We chose 1024 & 175 because our captured optical microscopy image width is 1024 pixels which =175 μm. We determine this number through image calibration and changes according to optical magnification.
Thank you sir. 🇳🇵
Thank you for information.
Who is watching this on July 2024 is it still the same method?
im new to this software, so can it do multiple images at once?
dude say hi in low voice. you damaged my ear drums
Thank you for the video!
I'm wondering, what version of the ImageJ software do you use? In my version, I don't have the option to overlay outlines in Analyze Particles window...
Just get Fiji Image j it has al the plugins you,ll ever need
you could simple split channels to get single colored images in R or G or B channel. couldn't you?
You can effortlessly split RGB image according to single channels using CoLocalizer Pro for Mac: colocalizer.com/mac.html
Thank you for the video, I still don't understand one things though, what is the difference between making an image binary and using image thresholding? In my case I want to measure canopy cover, and when I make an image binary, the leaves and branches turn black and background white. Does thresholding bring more accuracy?
Dear M F,
Binary image pixels have only two possibilities black or white. This makes life easier during image processing because we have to track either white or black pixels. If you have color image then there are varieties of pixels such as red, blue, green, etc which makes image processing relatively difficult. By the way, if you have already a black & white image then no need to change it.
@@chakraprasadjoshi Ah ok I think I understand. No I have coloured images, but I was changing them to B&W using binary. I see that when I play around with thresholding, I get a bit more accuracy.
But I have a few photos with the sun in the back and then I get the same problem as in your video with either everything become white, or everything becoming black. So I will try your second method with the filter. Thank you!
Obrigada!!
how did you see nano particles under optical microscope?
Dear Hammad,
We are not seeing individual nanoparticles under the optical microscope rather a collection of nanoparticles that form islands.
Hello,
I would just like to know that is this software ImageJ dealing with HYPERSPECTRAL REMOTE SENSING IMAGE ?
Dear Subhajit,
Yes, it would deal with hyperspectral remote sensing images but depends what you want to analyze in that image.
thank you
You can just type in "um" for micron rather than copying from word
I recently watched someone get destroyed during a thesis defense for using u instead of μ in their presentation.
A.N. Hofmann I was referring to the software recognising um automatically as a micron and changing it for you, rather that the authors method of copying it over from word like on the video.
Could you please explian to me how did you decide to put the number 175 micron? because I used one of the online units converter and it gave me that each one pixel =264.58 micron
Dear Enaam, we have measured the standard object first to know the frame width in micron. In our case, 1024 pixels = 175 micron. This value changes according to lens magnification.
Hi, Thank you so much for your reply. I don't understand exactly how did you measure the standard object. However, my scale bar is 500 micron and I took pictures for my samples under 40x lens. Hopefully these information are helpful for you to help me finding out the values I should put in the imagej (1599*1200 pixels).
I don't have any problem to share one of my images with you just to help you figure out what number should I put. Thanks again
Hi enaam, we used micron ruler for calibration. You may use some known objects (micro size) and then calibrate your image.By the way, 500 μm corresponds to your entire image width (from left to right) or a part?
Hi , Can you tell me the software Name ?
Hi Markvac,
Software name: ImageJ
Hello Friend
I need your help to define the diseased area in Crown rot disease. this disease is a fungus disease affect wheat plant root and crown area. it turns the colour into brown . I want to use image J to define the area and be able to distinguish diseased plant from non-disased one. would you be able to guide me how to do that with image J
Thanks in advance
Hi Rawaz, do you have a color image or a black and white image?
+chakraprasadjoshi I have a color images
+chakraprasadjoshi I have a color images
Hi Rawaz, is it okay for you to share your image file (link via Google drive or other media) so that we can look at it.
the last step is not working, may i know your e-mail so that i can send my image
Wokege
Hyyyyyyyyyeeeeeeeee.
what a annoying Hi it was.
😁😁
thank you