Researchers from the McKelvey School of Engineering at Washington University in St. Louis have developed a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images that were taken using the same standard microscopy tools found in many labs today.

Their findings were published Sept. 16 in the journal Nature Machine Intelligence.

“We train the model on the set of digital images to obtain a continuous representation,” said Ulugbek Kamilov, assistant professor of electrical and systems engineering and of computer science and engineering. “Now, I can show it any way I want. I can zoom in smoothly and there is no pixelation.”

The key to this work was the use of a neural field network, a particular kind of machine learning system that...

NASA’s James Webb Space Telescope captured its first images and spectra of Mars Sept. 5. The telescope, an international collaboration with ESA (European Space Agency) and CSA (Canadian Space Agency), provides a unique perspective with its infrared sensitivity on our neighboring planet, complementing data being collected by orbiters, rovers, and other telescopes.

Webb’s unique observation post nearly a million miles away at the sun-Earth Lagrange point 2 (L2) provides a view of Mars’s observable disk (the portion of the sunlit side that is facing the telescope)...

The new label-free deep-tissue imaging with the wave correction algorithm retrieves the fine neural network of the mouse brain with the intact skull by focusing the light and filtering out undesired multiple scattered light waves.

Researchers led by Associate Director CHOI Wonshik of the Center for Molecular Spectroscopy and Dynamics within the Institute for Basic Science, Professor KIM Moonseok of The Catholic University of Korea, and Professor CHOI Myunghwan of Seoul National University developed a new type of holographic microscope...