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   https://doi.org/10.1002/mrm.30218  

   Hannum, Ariel J; Cork, Tyler E; Setsompop, Kawin; Ennis, Daniel B (July 2024, Magnetic Resonance in Medicine)

   Abstract PurposeDiffusion encoding gradient waveforms can impartintra‐voxelandinter‐voxeldephasing owing to bulk motion, limiting achievable signal‐to‐noise and complicating multishot acquisitions. In this study, we characterize improvements in phase consistency via gradient moment nulling of diffusion encoding waveforms. MethodsHealthy volunteers received neuro () and cardiac () MRI. Three gradient moment nulling levels were evaluated: compensation for position (), position + velocity (), and position + velocity + acceleration (). Three experiments were completed: (Exp‐1) Fixed Trigger Delay Neuro DWI; (Exp‐2) Mixed Trigger Delay Neuro DWI; and (Exp‐3) Fixed Trigger Delay Cardiac DWI. Significant differences () of the temporal phase SD between repeated acquisitions and the spatial phase gradient across a given image were assessed. Resultsmoment nulling was a reference for all measures. In Exp‐1, temporal phase SD for diffusion encoding was significantly reduced with (35% oft‐tests) and (68% oft‐tests). The spatial phase gradient was reduced in 23% oft‐tests for and 2% of cases for . In Exp‐2, temporal phase SD significantly decreased with gradient moment nulling only for (83% oft‐tests), but spatial phase gradient significantly decreased with only (50% oft‐tests). In Exp‐3, gradient moment nulling significantly reduced temporal phase SD and spatial phase gradients (100% oft‐tests), resulting in less signal attenuation and more accurate ADCs. ConclusionWe characterized gradient moment nulling phase consistency for DWI. UsingM₁for neuroimaging andM₁ + M₂for cardiac imaging minimized temporal phase SDs and spatial phase gradients. 

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2. Evaluation of the robustness and accuracy of PCA-based algorithms for in-line Digital Holographic Microscopy

   https://doi.org/10.1364/3D.2023.JTu4A.35  

   Balachandran, K.; Castaneda, R.; Doblas, A. (January 2023, Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP))

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   Scarbrough, Bretton; Levy, David; Ward, Chase; Salandrino, Alessandro; Fardad, Shima (October 2025, Optica Publishing Group)

   This paper introduces the Phase-Induced Compressive Sensing (PICS) algorithm, combining phase induction and compressive sensing to efficiently generate high-quality phase masks for holographic optical tweezers, enabling scalable, real-time updates with reduced computation time and enhanced performance. 

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4. Motility induced phase separation of deformable cells

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   https://doi.org/10.1039/D4TC00039K  

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   We used temperature-dependent spark plasma sintering to induce phase transformations of metastable 3D c-BN to mixed-phase 3D/2D c-BN/h-BN and ultimately to the stable 2D h-BN phase at high temperature, useful for extreme-temperature technology. 

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