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In this study, researcher developed a new imaging approach that combines two powerful techniques to solve this problem. First ...
Photo-induced force microscopy began as a concept in the mind of Kumar Wickramasinghe when he was employed by IBM in the ...
Learn about two major asteroid impacts from 3.5 million years ago that may not have had lasting environmental effects.
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Study provides insight into how some species thrive in dark, oxygen-free environmentsA new study led by Woods Hole Oceanographic Institution (WHOI), published in The ISME Journal, sheds light on how a species of foraminifera, single-celled organisms found in almost all marine habitats ...
Between 252 and 66 million years ago, the ocean underwent a revolution. That's when plankton with calcium carbonate skeletons colonized the open ocean. When they died, their remains fell like snow ...
Unlike traditional microscopes that use light or lenses, DNA microscopy creates images by calculating interactions among molecules.
This paper presents the integration of micropaleontological (palynology and foraminifera) and isotopic (87Sr/86Sr) analysis of a selected interval from the well 2-TG-96-RS, drilled on the onshore ...
A hybrid microscope allows scientists to simultaneously image the full 3D orientation and position of an ensemble of molecules, such as labeled proteins inside cells. The microscope combines ...
A hybrid microscope, born at the Marine Biological Laboratory (MBL), for the first time allows scientists to simultaneously image the full 3D orientation and position of an ensemble of molecules ...
Two massive asteroid impacts 35.65 million years ago left significant craters but caused no long-term climate changes, according to a UCL study analyzing marine fossil isotopes. The findings highlight ...
Figure 1. Specimens of miliolid foraminifera, identified as Pseudolachlanella eburnea (d’Orbigny), used for experimental studies. (A, B) SEM, (C, D) transmitted light microscope, and (E, F) ...
University of Illinois Urbana-Champaign researchers have developed a deep learning algorithm for removing systematic effects from atomic force microscopy images, enabling more precise profiles of ...
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