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I am writing to express my sincere appreciation for your repository and YouTube channel. Your resources have been invaluable in advancing my work on histopathology image analysis.
I am currently focusing on analyzing both H&E and complex immunofluorescence stained images. While I have thoroughly explored your tutorials, I haven't found specific guidance on processing complex immunofluorescence staining techniques. I have, however, benefited significantly from your tutorials on H&E normalization (122_normalizing_HnE_images), IHC analysis (278_IHC_color_separation_followed_by_nuclei_segmentation_using_python), and FISH analysis (328a_smFISH_analysis_using_Big_FISH_singleplex and 328b_smFISH_analysis_using_Big_FISH_multiplex).
I believe expanding your tutorials to include complex immunofluorescence staining methods would be extremely beneficial to the community.
Currently, I am training a UNet model on H&E images with corresponding masks for each immunofluorescence channel. I'm encountering challenges with potential autofluorescence contamination when predicting other immunofluorescence channels. I suspect that the preprocessing steps for immunofluorescence images might be crucial in addressing this issue.
I would greatly appreciate any insights or suggestions you might have to overcome this challenge.
Thank you for your time and consideration.
Best regards,
Linh
The text was updated successfully, but these errors were encountered:
Dear Dr. Bhattiprolu,
I am writing to express my sincere appreciation for your repository and YouTube channel. Your resources have been invaluable in advancing my work on histopathology image analysis.
I am currently focusing on analyzing both H&E and complex immunofluorescence stained images. While I have thoroughly explored your tutorials, I haven't found specific guidance on processing complex immunofluorescence staining techniques. I have, however, benefited significantly from your tutorials on H&E normalization (122_normalizing_HnE_images), IHC analysis (278_IHC_color_separation_followed_by_nuclei_segmentation_using_python), and FISH analysis (328a_smFISH_analysis_using_Big_FISH_singleplex and 328b_smFISH_analysis_using_Big_FISH_multiplex).
I believe expanding your tutorials to include complex immunofluorescence staining methods would be extremely beneficial to the community.
Currently, I am training a UNet model on H&E images with corresponding masks for each immunofluorescence channel. I'm encountering challenges with potential autofluorescence contamination when predicting other immunofluorescence channels. I suspect that the preprocessing steps for immunofluorescence images might be crucial in addressing this issue.
I would greatly appreciate any insights or suggestions you might have to overcome this challenge.
Thank you for your time and consideration.
Best regards,
Linh
The text was updated successfully, but these errors were encountered: