Thank you very much for your teaching, Professor. This is an excellent lecture series, and I have learned a lot from it. Thank you very much again for sharing your wisdom.
Glad I found your tutorials! Could you explain what we would have to do to do this for all stacks in a Z-projection? Does the read in variable in that case have another index that keeps track of stack that we could access?
Yes, absolutely. When you read in an image stack the numpy array includes extra dimension for the z position. For multidimensional tif images (e.g. z stack) please use tifffile library to read images. Also, for this method, you need to work with one slice in the stack at a time so when writing code you will have to keep this in mind.
Dear Professor, I am really enjoying and learning a lot from your lectures. I was wondering, Where can I get the images you use in your tutorial? Warm wishes, Eitan
Thanks alot for your informative and well-explained tutorials. I have a question. I read a DICOM file and then want to do the segmentation on it. My question is that how should I save the DICOM file I read as volumetric data, to be able to do segmentation and thresholding on it? I am asking you this question because I save itas png, and. now I am not able to even have histogram for it.
I never found the need to use Lagrange interpolation for an image. But I do know that it is available in the scipy library. I am aware of this method to be a way of interpolating if you know the polynomial but I am not sure how you'd represent an image or image patches as a polynomial.
Advantages and disadvantages of what? If you are inquiring about thresholding and segmentation then the simple answer is that thresholding is just a way of segmenting images.
Excellent video. The explanations are so clear, even for someone without a background in microscopy.
Thank you very much for your teaching, Professor. This is an excellent lecture series, and I have learned a lot from it. Thank you very much again for sharing your wisdom.
Very informative and simplified.
Thank you very much for this video! It is very educational and well-explained :)
You're very welcome!
Glad I found your tutorials! Could you explain what we would have to do to do this for all stacks in a Z-projection? Does the read in variable in that case have another index that keeps track of stack that we could access?
Yes, absolutely. When you read in an image stack the numpy array includes extra dimension for the z position. For multidimensional tif images (e.g. z stack) please use tifffile library to read images. Also, for this method, you need to work with one slice in the stack at a time so when writing code you will have to keep this in mind.
@@ZEISS_arivis Thanks for the reply! all makes sense, but i'm curious whether we will be able to avoid overcounting nuclei present in multiple stacks?
@@ZEISS_arivis Thanks for your reply
Dear Professor,
I am really enjoying and learning a lot from your lectures.
I was wondering,
Where can I get the images you use in your tutorial?
Warm wishes, Eitan
amazing videos. its sad people enjoy but dont like this rich job ;
Thanks :)
Thanks dr. for your informative lecture. Please what should I used to segment irregular shapes in CT scan like tumour .what is the best technique
Please follow our Deep learning videos on the topic of semantic segmentation (using Unet)
How can i can get your mentorship to learn python use for my project.
Thanks alot for your informative and well-explained tutorials. I have a question. I read a DICOM file and then want to do the segmentation on it. My question is that how should I save the DICOM file I read as volumetric data, to be able to do segmentation and thresholding on it?
I am asking you this question because I save itas png, and. now I am not able to even have histogram for it.
Why the final image after OSTU is yellow and purple instead of black and white?
plt.imshow(image, cmap = 'gray')
Thank you so much!
Hello Sir , May I know the ide used ??
I use Spyder IDE that comes with Anaconda.
how to apply lagrange interpolation method to image?
I never found the need to use Lagrange interpolation for an image. But I do know that it is available in the scipy library. I am aware of this method to be a way of interpolating if you know the polynomial but I am not sure how you'd represent an image or image patches as a polynomial.
@@ZEISS_arivis Thank You sir
can you tell me which interpolation method can be applied in image?
sir
what is advantages and dis advantages
Advantages and disadvantages of what? If you are inquiring about thresholding and segmentation then the simple answer is that thresholding is just a way of segmenting images.