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Watts, R.

Publications and source records attributed to Watts, R..

2 recordsLinked to original sources

Deformation microscopy for dynamic intracellular and intranuclear mapping of mechanics with high spatiotemporal resolution

Structural heterogeneity is a hallmark of living cells and nuclei that drives local mechanical properties and dynamic cellular responses, including adhesion, gene expression, and differentiation. However, robust quantification of intracellular or intranuclear mechanics are lacking from conventional methods. Here, we describe new development of deformation microscopy that leverages conventional imaging and an automated hyperelastic warping algorithm to investigate strain history, deformation dynamics, and changes in structural heterogeneity within the interior of cells and nuclei. Using deformation microscopy, we found that tensile loading modes dominated intranuclear architectural dynamics in cardiomyocytes in vitro or myocytes in vivo, which was compromised by disruption of LINC complex molecule nesprin-3 or Lamin A/C, respectively. We also found that cells cultured on stiff substrates or in hyperosmotic conditions displayed abnormal strain burden and asymmetries compared to controls at interchromatin regions where active translation was expected. Deformation microscopy represents a foundational approach toward intracellular elastography, with potential utility to provide new mechanistic and quantitative insights in diverse mechanobiological applications.

biophysics

Correction of respiratory artifacts in MRI head motion estimates

Head motion represents one of the greatest technical obstacles for brain MRI. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, this estimation may be corrupted by factitious effects owing to main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and a comparison single-shot dataset from Oregon Health & Science University. We show unequivocally that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with degraded quality of functional MRI. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects. Subsequently, we demonstrate that utilizing this filter improves post-processing data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.

neuroscience