In February, as the new coronavirus swept across China, a scientist named Sai Li set out to paint its portrait.
At the time, the best pictures anyone had managed to take were low-resolution images, in which the virus looked like a smudge.
Li, a structural biologist at Tsinghua University in Beijing, joined forces with virologists in Hangzhou who doused the viruses with chemicals to render them harmless. Li and his colleagues then concentrated the virus-laden fluid from a quart down to a single drop.
Li froze the drop in a fraction of a second. If he made the slightest mistake, ice crystals could spear the viruses, tearing them apart.
Li placed the smidgen of ice into a cryo-electron microscope. The device fired beams of electrons at the sample. As they bounced off the atoms inside, Li's computer reconstructed what the microscope had seen. He could see thousands of coronaviruses packed in the ice. They were beautifully intact, allowing him to inspect details on the viruses that measured less than a millionth of an inch. "I thought, I was the first guy in the world to see the virus in such good resolution," Li recalled.
Over the following weeks, Li and his colleagues pored over the viruses. They inspected the proteins that studded its surface and they dove into its core, where the virus' strand of genes was coiled up with proteins.
Thanks to the work of scientists like Li, the new coronavirus, known as SARS-CoV-2, is no longer a cipher. They have come to know it in intimate, atomic detail. They have discovered how it uses some of its proteins to slip into cells and how its twisted genes commandeer our biochemistry. They have observed how some viral proteins throw wrenches into our cellular factories, while others build nurseries for making new viruses. And some researchers are using supercomputers to create complete, virtual viruses that they hope to use to understand how the real viruses have spread with such devastating ease.
"This time is unlike anything any of us has experienced, just in terms of the bombardment of data," said Rommie Amaro, a computational biologist at the University of California, San Diego.