NUS Schedules Old and New | Dr Frank Delaglio & Prof.David Rovnyak | Session 104

During the 104th session of the Global NMR Discussion Meetings held on June 17th, 2025, via Zoom, Dr Frank Delaglio & Prof. David Rovnyak from the National Institute of Standards and Technology, USA, and the Bucknell University, USA, gave a talk on the topic "NUS Schedules Old and New, and How to Evaluate Them for Your Data". The recording serves as a tutorial.

Find out more about Dr Frank Delagio's & Prof David Rovnyak's research :
https://www.nist.gov/people/frank-del...
https://www.bucknell.edu/fac-staff/da...

Abstract:
Increased adoption of non-uniform sampling (NUS) for multi-dimensional NMR spans ever-broader classes of experiments and increasingly challenging applications, expanding the efficiency and scope of NMR. Given the landscape of established and emerging spectral analysis and reconstruction methods, there is increasing focus on the properties, quality, and selection of sampling schedules, enabling a greater understanding of the principles of good schedule design. Even as the diverse criteria for generating schedules are better understood, creating de novo schedules for NUS as well as evaluating schedules can be non-trivial, involving a complex interplay of experimental considerations. This presentation will review the workings of NUS as background for a detailed discussion of the current state of sampling schedule design, with the aim to empower users to determine when and how NUS can best be applied to their own NMR measurements.

Content of this video :
00:00 - 05:24 Introduction on multidimensional NMR
05:25 - 08:40 Accelerate the acquisition in multidimensional spectra with NUS
08:41 - 14:21 The Fourier Transform and its comparison between uniforn and non-uniform sampling
14:22 - 17:25 NUS reconstruction
17:26 - 33:50 Some examples
33:51 - 59:00 NUS scheduling and advances
59:01 - 01:08:57 Q&A

Current organizers:
Adrian Draney (Creighton Uni.)
Amrit Venkatesh (University of Virginia)
Asif Equbal (New York Uni., Abu Dhabi)
Blake Wilson (Robert Tycko Lab, NIH)
Charlotte Bocquelet (HMRLab, CRMN Lyon)
Diganta Sarkar (Alberta Uni.)
Julie Buhl (Uni. JKU Linz)
Marcel Levien (Emsley Lab, EPFL)
Mengshan Ye (Miller Institute, UC Berkeley)
Michael Hope (Warwick Uni.)
Mouzhe Xie (Arizona State Uni.)
Nikita Rao (Indian Institute of Science, Bangalore)
Nesreen Elathram (Debelouchina Lab, UCSD)
Tamali Nag (Uni. of Lille/Grenoble)