There are 7 item(s) tagged with the keyword "Kanazawa".
Displaying: 1 - 7 of 7
A new paper reveals how nature has come up with solutions for photosynthetic organisms to safely harvest sunlight. The paper is included as a chapter in a new book, Photosynthesis in Algae: Biochemical and Physiological Mechanisms, published by Springer.By Igor Houwat, Atsuko Kanazawa; Banner image by Kramer lab
The latest advances in cryo-electron tomography were used to image photosynthetic protein complexes embedded within native thylakoid membranes inside the cell.
Atsuko Kanazawa reflects on collaborative projects in West Africa that contribute to local food security, like identifying drought-resistant beans or supporting women-run experimental farms.By By Atsuko Kanazawa, Igor Houwat, Cynthia Donovan; Banner Image by Atsuko Kanazawa
When engineers want to speed up a system, they look for the slowest steps and make them faster. In plants, this approach potentially does more harm than good, says the Kramer lab.By Igor Houwat, Atsuko Kanazawa, David Kramer
“Feed the Future," funded by USAID, engages universities, institutions, and private organizations in the US, Africa, and Central/South America to improve legume management on local farms.
The technology is featured alongside various new tools that are transforming marine science, as researchers rush to understand how coral reefs are affected by overfishing, pollution, global warming and ocean acidification.
Atsuko blogs on the debut of a PRL-built device that measures coral reef health. "If we continue the current practice of land-use, with no further pollution control, over-fishing & etc., coral reefs would disappear by 2070."
Displaying: 1 - 7 of 7
Researchers are integrating their work into undergraduate cell and molecular biology laboratory courses at Michigan State University through the use of Arabidopsis mutant screenings.
MSU-DOE Plant Research Laboratory (PRL) scientists have published a new study that furthers our understanding of how plants make membranes in chloroplasts, the photosynthesis powerhouse
A new AI system, called DeepLearnMOR, can identify organelles and classify hundreds of microscopy images in a matter of seconds and with an accuracy rate of over 97%. The study illustrates the potential of AI to significantly increase the scope, speed, and accuracy of screening tools in plant biology.