Cornell Chronicle: New cell database paints fuller picture of muscle repair

Cornell Chronicle: New cell database paints fuller picture of muscle repair. “When a muscle becomes injured, it repairs itself using a flurry of cellular activity, with stem cells splitting and differentiating into many types of specialized cells, each playing an important role in the healing process. Biologists have struggled to study rare and transient muscle cells involved in the process, but Cornell engineers have lifted the curtain on these elusive dynamics with the launch of scMuscle, one of the largest single-cell databases of its kind.”

Engadget: Researchers retrofit microscopes to take 3D images of cells in real-time

Engadget: Researchers retrofit microscopes to take 3D images of cells in real-time. “There’s a limit to what you can learn about cells from 2D pictures, but creating 3D images is a time-intensive process. Now, scientists from UT Southwestern have developed a new ‘simple and cost-effective’ device capable of capturing multi-angle photos that can be retrofitted onto existing lab microscopes. The team say their solution — which involves inserting a unit of two rotating mirrors in front of a microscope’s camera — is 100 times faster than converting images from 2D to 3D.”

Phys .org: New AI-based tool can find rare cell populations in large single-cell datasets

Phys .org: New AI-based tool can find rare cell populations in large single-cell datasets. “Researchers at The University of Texas MD Anderson Cancer Center have developed a first-of-its-kind artificial intelligence (AI)-based tool that can accurately identify rare groups of biologically important cells from single-cell datasets, which often contain gene or protein expression data from thousands of cells. The research was published today in Nature Computational Science.”

UCLA: Researchers convert 2D images into 3D using deep learning

UCLA Newsroom: Researchers convert 2D images into 3D using deep learning. “A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. The researchers use artificial intelligence to turn two-dimensional images into stacks of virtual three-dimensional slices showing activity inside organisms.”

BioSpace: New Tool Allows View of Cell Division in 3D Models

BioSpace: New Tool Allows View of Cell Division in 3D Models. “The Integrated Mitotic Stem Cell merges images of 15 separate cellular components, creating a 3-dimensional map of what a human cell looks like during different steps in cell division. The idea is that it can assist researchers in better understanding how the separate stages and different components of the cell work together—it’s also visually beautiful and entertaining, which makes it a valuable educational tool.”

UPI: Scientists use artificial intelligence to create cell database

UPI: Scientists use artificial intelligence to create cell database. “A new artificial intelligence could help sort normal cells from diseased cells, researchers report in a new study. The Human Cell Atlas is a deep learning algorithm method that uses single-cell RNA sequencing to distinguish activated and deactivated cells within humans at any point, according to a study published Wednesday in Nature Communications. The ability to pinpoint healthy cells from diseased cells at a given time within a person’s life cycle.”

Human Cell Atlas: The plan to map every cell in your body (ABC News Australia)

ABC News (Australia): Human Cell Atlas: The plan to map every cell in your body. “Our bodies are made up of least 37 trillion cells, and scientists are teaming up around the world to map every single one of them. A new project called the Human Cell Atlas hopes to discover what each of these cells do. And the plan is to put the information in an online database that any scientist can use.”

PR Newswire: Allen Institute Shares First Open Database Of Live Human Brain Cells (PRESS RELEASE)

PR Newswire: Allen Institute Shares First Open Database Of Live Human Brain Cells (PRESS RELEASE). “The Allen Institute for Brain Science has added the first data from human nerve cells to the Allen Cell Types Database: a publicly available tool for researchers to explore and understand the building blocks of the human brain. This first release includes electrical properties from approximately 300 living cortical neurons of different types derived from 36 patients, with accompanying 3D reconstructions of their shape or anatomy for 100 cells, and computer models simulating the electrical behavior of these neurons. The database will also contain gene expression profiles, based on measurements of all genes used by 16,000 individual cells, from three adult human brains.”