The tomato crop is an important staple in the Indian market with high commercial value and
is produced in large quantities. Diseases are detrimental to the plant's health which in turn …

Autonomous systems that combine synthesis, characterization, and artificial intelligence can
greatly accelerate the discovery and optimization of materials, however platforms for growth …

Workflow and serverless frameworks have empowered new approaches to distributed
application design by abstracting compute resources. However, their typically limited or one …

Modern materials science research problems present a challenge to data science and
analytics as experiments generate Petabyte-scale spatiotemporal datasets that span a …

Advanced electron microscopy workflows require an ecosystem of microscope instruments
and computing systems possibly located at different sites to conduct remotely steered and …

Microcirculation plays a significant role in cerebral metabolism and blood flow control, yet
explaining and predicting functional mechanisms remains elusive because it is difficult to …

Computational and data-driven research practices have significantly changed over the past
decade to encompass new analysis models such as interactive and online computing …

Tomographic X-ray microscopy beamlines at synchrotron light sources worldwide have
pushed the achievable time-resolution for dynamic 3-dimensional structural investigations …

X-ray computed tomography is a commonly used technique for noninvasive imaging at
synchrotron facilities. Iterative tomographic reconstruction algorithms are often preferred for …

Modern scientific instruments, such as detectors at synchrotron light sources, generate data
at such high rates that online processing is needed for data reduction, feature detection …