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We are interested to test your algorithm on spectral confocal images (Zeiss LSM 980 NIR). Can we test your algorithm with TIFF lambda images (35 images) and do you need individual spectrum or do you e…
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For my Akoya multiplex wholeslide sections I performed spectral unmixing with the Akoya InForm software which generated for a 8-channel scan 240 patches with float pixel precision resulting in a total…
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Hello,
I am trying your Spectral unmixing (LUMoS) in ImageJ.
I have a two-photon live-cell imaging timecourse in 3D. I have 4 fluorophores and try to unmix the sample by detecting 4 clusters.
…
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@marcelzwiers @schoffelen @arnodelorme @CPernet
For your information, I am working on the implementation of the BrainVision Core data format in the BIDScramble. The EEGLAB `.set` format is too com…
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great work!thanks a lot for open-source!
I would like to know how the data is named, such as a data folder --data_path data_real4/train/mixed, and a target folder --target_path data_real4/train/targe…
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Though `visualize.FeatureSpace` can accept MNF-transformed data (by setting `transform=False` to indicate the data is already transformed), the resulting plots of the mixing space don't look right... …
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Here's one way we could reorganize the package:
* pycroscopy
* learn
* ml
* unsupervised
* cluster
* decomposition
* other unmixing
* gaussian…
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Hello,
I'd like to try out the different unmixings you implemented (and specifically removing some spectrum from the overall fluorescence, I haven't seen that done anywhere else before), but R or w…
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# 초분광 이미징 분석 기술
높은 공간 및 스펙트럼 정보를 포함하는 초분광 큐브는 수십 ~ 수백 메가바이트의 대용량으로, 대기 및 기하학적인 왜곡 등 물리적인 요인뿐만 아니라, 데이터의 혼합된 픽셀, 인접 대역에서의 높은 상관관계로 인한 높은 데이터 중복성, 초분광 시그니처의 가변성, 그리고 차원의 저주(curse of the dimensionalit…
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Dear developper,
Your application is great for cytometry, I would like to adapt it for spectral microscopy. I was wondering if the program could be easily modify to fit with a spectral micrsocope li…