🗊 Презентация Overcoming line broadening in real-time pure shift NMR spectroscopy

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Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №1 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №2 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №3 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №4 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №5 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №6 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №7 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №8 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №9 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №10 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №11 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №12 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №13 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №14 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №15 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №16 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №17 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №18 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №19 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №20 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №21 Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №22

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Слайды и текст этой презентации


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Overcoming line broadening in real-time pure shift NMR spectroscopy Alexandra Shchukina, Krzysztof Kazimierczuk University of Warsaw, Centre of New...
Описание слайда:
Overcoming line broadening in real-time pure shift NMR spectroscopy Alexandra Shchukina, Krzysztof Kazimierczuk University of Warsaw, Centre of New Technologies, Poland Craig Butts, Ikenna Ndukwe Bristol University, UK

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Overcoming line broadening in real-time pure shift NMR spectroscopy ...with what? Alexandra Shchukina, Krzysztof Kazimierczuk University of Warsaw,...
Описание слайда:
Overcoming line broadening in real-time pure shift NMR spectroscopy ...with what? Alexandra Shchukina, Krzysztof Kazimierczuk University of Warsaw, Centre of New Technologies, Poland Craig Butts, Ikenna Ndukwe Bristol University, UK

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Overcoming line broadening in real-time pure shift NMR spectroscopy ...with CS reconstruction! Alexandra Shchukina, Krzysztof Kazimierczuk University...
Описание слайда:
Overcoming line broadening in real-time pure shift NMR spectroscopy ...with CS reconstruction! Alexandra Shchukina, Krzysztof Kazimierczuk University of Warsaw, Centre of New Technologies, Poland Craig Butts, Ikenna Ndukwe Bristol University, UK

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Pure shift NMR: what for and how Line broadening in real-time pure shift NMR CS reconstruction as a remedy Details of CS: the idea and its...
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Pure shift NMR: what for and how Line broadening in real-time pure shift NMR CS reconstruction as a remedy Details of CS: the idea and its realization Applications

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Pure shift NMR: what for and how Line broadening in real-time pure shift NMR CS reconstruction as a remedy Details of CS: the idea and its...
Описание слайда:
Pure shift NMR: what for and how Line broadening in real-time pure shift NMR CS reconstruction as a remedy Details of CS: the idea and its realization Applications

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Pure shift NMR as a tool for homodecoupling
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Pure shift NMR as a tool for homodecoupling

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Selective pulses Spacially selective or Frequency-selective or BIRD-based pulse sequences ...
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Selective pulses Spacially selective or Frequency-selective or BIRD-based pulse sequences ...

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Pseudo-2D and real-time pure shift NMR
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Pseudo-2D and real-time pure shift NMR

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Line broadening with concatenation
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Line broadening with concatenation

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Line broadening with concatenation
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Line broadening with concatenation

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically for NMR: spectrum (Fourier transform of FID)

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically for NMR: spectrum (Fourier transform of FID)

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID Undersampling: (undetermined system)

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID Undersampling: (undetermined system) CS reconstruction: subject to (out of all possible FIDs choose the one which gives the sparsest spectrum)

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID Undersampling: (undetermined system) CS reconstruction: subject to (out of all possible FIDs choose the one which gives the sparsest spectrum) Taking noise into account:

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID Undersampling: (undetermined system) CS reconstruction: subject to (out of all possible FIDs choose the one which gives the sparsest spectrum) Taking noise into account:

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Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed...
Описание слайда:
Compressed Sensing – basic idea A signal, which is sparse in some representation, can be undersampled (skip measurements) and then reconstructed mathematically Full sampling: (full system), – inverse Fourier transform, – spectrum, – FID Undersampling: (undetermined system) CS reconstruction: subject to (out of all possible FIDs choose the one which gives the sparsest spectrum) Taking noise into account: Iterative solution → family of algorithms

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Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №20
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Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №21
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Overcoming line broadening in real-time pure shift NMR spectroscopy, слайд №22
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