New algorithm makes maps of gene activity easier to compare while preserving cell-level detail
Researchers have developed an algorithm to compare gene activity maps while preserving cell-level detail. The new tool can handle distortions in tissue slices and help identify similarities between different samples. It enables scientists to study the same processes across various cells and tissues.
Why it's good news: It will aid scientists in making important discoveries about the body's functions and diseases, leading to potential breakthroughs in medical research.
The science section covers breakthroughs in medicine, physics, biology, and technology. We surface discoveries that expand what humanity can do, from new treatments reaching clinical trials to engineering feats that seemed impossible a decade ago. Every link goes to the original publisher so you can read the full study or press release yourself.
If today's breakthrough story sparked something, a live 1-on-1 tutor can take you from curious to competent. First lesson guaranteed or your money back.
Try Preply free →A wildlife overpass in Colorado was completed under budget and has allowed pronghorn to return to their habitat. Japan h…
NASA astronaut Christina Koch will attend an NFL game in Philadelphia to talk about space exploration and innovation. Th…
NASA's SpaceX Crew-12 mission is concluding with its crew members preparing to return to Earth in early October after co…
An engineering model of NASA's DAVINCI descent probe has passed a test that demonstrated its ability to withstand extrem…
Most news feeds won't give you another one. Our morning letter will: one email at sunrise with the day's best good news.
Start tomorrow morning →