¹³C NMR: ¹H–¹³C Decoupling
Double Resonance Techniques: Overview
2D NMR: Overview of Heteronuclear Correlation Techniques
2D NMR: Overview of Homonuclear Correlation Techniques
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
¹H NMR: Interpreting Distorted and Overlapping Signals
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Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
Published on: April 3, 2026
Jorge L Neves1, Björn Heitmann, Navin Khaneja
1Department of Chemistry, Technische Universität München, 85747 Garching, Germany.
This study introduces a new method for designing efficient heteronuclear decoupling sequences using optimal control. The advanced gradient ascent engineering (GRAPE) algorithm enhances sequence design for improved performance in magnetic resonance applications.
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