Excellent video. The explanations are so clear, even for someone without a background in microscopy.
@familywu3869 Жыл бұрын
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.
@JarashanthSelvarajah9 ай бұрын
Very informative and simplified.
@martinkinisu79464 жыл бұрын
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?
@ZEISS_arivis4 жыл бұрын
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.
@martinkinisu79464 жыл бұрын
@@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?
@sugandhasingh38333 жыл бұрын
@@ZEISS_arivis Thanks for your reply
@eitanas853 жыл бұрын
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
@sadafhajiha9483 жыл бұрын
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.
@tymothylim65503 жыл бұрын
Thank you very much for this video! It is very educational and well-explained :)
@ZEISS_arivis3 жыл бұрын
You're very welcome!
@JwanKAlwan3 жыл бұрын
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
@ZEISS_arivis3 жыл бұрын
Please follow our Deep learning videos on the topic of semantic segmentation (using Unet)
@bhu-gyaan-vigyaan11942 жыл бұрын
How can i can get your mentorship to learn python use for my project.
@yunshunzhong44913 жыл бұрын
Why the final image after OSTU is yellow and purple instead of black and white?
@nirajanbekoju63803 жыл бұрын
plt.imshow(image, cmap = 'gray')
@yunshunzhong44913 жыл бұрын
Thank you so much!
@danielabatalha54342 жыл бұрын
amazing videos. its sad people enjoy but dont like this rich job ;
@ZEISS_arivis2 жыл бұрын
Thanks :)
@radheshasa46422 жыл бұрын
Hello Sir , May I know the ide used ??
@ZEISS_arivis2 жыл бұрын
I use Spyder IDE that comes with Anaconda.
@sugandhasingh38333 жыл бұрын
how to apply lagrange interpolation method to image?
@ZEISS_arivis3 жыл бұрын
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.
@sugandhasingh38333 жыл бұрын
@@ZEISS_arivis Thank You sir
@sugandhasingh38333 жыл бұрын
can you tell me which interpolation method can be applied in image?
@ajaykumarswarna15524 жыл бұрын
sir what is advantages and dis advantages
@ZEISS_arivis4 жыл бұрын
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.