Medical XPress: Science communicators get access to real data for 3-D modelling

Medical XPress: Science communicators get access to real data for 3-D modelling. “Free, open-source software created by a U of T Mississauga professor is giving science communicators access to real data for science illustrations and animations. NeuronBuild 1.8 is now available for immediate download from GitHub.com. This latest version includes bug fixes and new features.”

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.”

Phys .org: New tool for understanding cells in health and disease

Phys .org: New tool for understanding cells in health and disease . “The freely accessible platform, which includes software and several gold standard datasets compares the performance of thousands of different single-cell analysis options, enabling researchers to identify the best method for the questions they wish to answer.”

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.”

Cancer. gov: Researchers create record-sized, integrated cellular cancer database

Cancer .gov: Researchers create record-sized, integrated cellular cancer database. “An international team of researchers have created a powerful new database that consolidates data on a record number of cancer drugs and cell lines. The freely available tool, called CellMinerCDB, can be used to explore connections between drugs and various features of cancer, such as genetic mutations, cell signatures, DNA methylation and more.”

DICE: Immune cell atlas goes live (EurekAlert)

EurekAlert: DICE: Immune cell atlas goes live . “Compare any two people’s DNA and you will find millions of points where their genetic codes differ. Now, scientists at La Jolla Institute for Immunology (LJI) are sharing a trove of data that will be critical for deciphering how this natural genetic variation shapes the immune system’s ability to protect our health.”