electron microscopy

A New View of How Muscles Move

IRP Research Challenges Long-Held Ideas About Muscle Structure

sprinter starting to run

It’s not every day an accidental observation overturns 100 years of biological knowledge. But that’s what happened when IRP Stadtman Investigator Brian Glancy, Ph.D., noticed something funny while reviewing high-definition 3D videos of muscle cells.

“To be honest, you could almost call this study an accident,” he says.

Dr. Glancy, who leads the National Heart, Lung, and Blood Institute (NHLBI)’s Muscle Energetics Lab, often uses the high-powered microscopes available through the NHLBI Electron Microscopy Core to study how energy is distributed through skeletal muscle cells — the ones that control voluntary movement — when they expand and contract.

Although he was focused on examining the cells’ energy-producing mitochondria, he could also see the other structures inside them, including the long, tube-like structures called myofibrils that are involved in muscle contraction. As he advanced the video and traveled down the length of the muscle, it looked to him like the myofibrils were changing shape.

Tech Tidbits From NIH History

Surrounded as we are with incredible technologies like supercomputers, MRI scanners, and smartphones, it's easy to forget that technologies viewed as antiquated today were once considered cutting-edge. Perhaps learning about some of the gadgets and technological concerns from NIH's past will help spark a greater appreciation for the wonderful gizmos that are spurring new scientific discoveries (and adorable cat memes) today. 

NIH Y2K preparation card

Summertime Brains: Alex Fuksenko

Alex Fuksenko, a senior at the University of Maryland in College Park, spent his summer in the lab of NIH IRP Investigator Kevin Briggman, Ph.D.

Fuksenko helped to create a website called Labrainth that “gamifies” the identification and tracing of neurons in 2D images produced by electron microscopes. By visiting the website and completing those activities, members of the public can earn points and move up leaderboards while producing data that machine learning algorithms can use to learn how to trace neurons in these images themselves, a necessary step towards producing an accurate 3D model of the human brain.