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When astronomers showed the world their first look at a supermassive black hole in 2019000 Archives the image was likened to a flaming space doughnut.

But the team has released a new sharper image of the black hole that lurks at the center of the Messier 87 galaxy, with its black hole-ness more clearly defined.

With the help of artificial intelligence, some of the researchers worked together to leverage the full resolution of the network of radio telescopes that captured it, cleaning up the data to expose a more abundant dark center, surrounded by a bright gas ring.

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"Since we cannot study black holes up-close, the detail of an image plays a critical role in our ability to understand its behavior," said Lia Medeiros of the Institute for Advanced Study in a statement. She is the lead author of a new study on the technique published in The Astrophysical Journal Letters.

SEE ALSO: Behold the Milky Way's supermassive black hole in first-ever photo

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Up until four years ago, any depiction of a black hole was merely an artist's interpretation or a computer model of what the spinning, spacetime-bending phenomenon might look like. This image, however, is the real deal, each pixel representing a Herculean effort: hundreds of scientists around the globe collecting, processing, and piecing together fragments of data.

Though black holes are by definition unseeable — light can't travel fast enough to escape their clutches — the cosmic object revealed itself in silhouette: What's shown in the image is actually the hole's shadow, surrounded by the bright glow of the gas and debris swirling around its perimeter.

This supermassive black hole, dubbed M87*, is about 53 million light-years away in the Virgo constellation. But astronomers targeted it before they attempted imaging the black hole at the center of our own galaxy, Sagittarius A*, because of how humongous it is. They have estimated it's as large as our eight-planet solar system and weighs several billion times the mass of the sun.

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To collect the massive amount of data needed to process the original image, the Event Horizon Telescope group used very-long-baseline interferometry, which syncs up radio dishes around the world and takes advantage of Earth's rotation to form one virtual planet-sized telescope.

But since it isn't possible to cover the planet's entire surface with telescopes, gaps exist in the data like missing puzzle pieces. That's where a new technique, called PRIMO, has come in.

PRIMO, short for principal-component interferometric modeling, relies on dictionary learning, a branch of machine learning that enables computers to generate rules based on large sets of training material. Computers analyzed over 30,000 simulated images of black holes, studying how to estimate the missing pieces of the image.

The technique could be used for other Event Horizon Telescope observations, according to the team, including those of Sgr A*, the supermassive black hole in our own galaxy. Astronomers released an image of the center of the Milky Way last year.

Don't think of the new M87* image as an enhancement of the 2019 image, but an independent reconstruction using the exact same data, said Tod Lauer, a collaborator on the project from NOIRlab. A study delving more deeply into the algorithm was published in The Astrophysical Journalin February.

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Black holes are some of the most elusive things in outer space. The most common kind, called a stellar black hole, is often thought to be the result of an enormous star dying in a supernova explosion. The star's material then collapses onto itself, condensing into a relatively tiny area.

But how supermassive black holes, millions to billions of times more massive than the sun, form is even more mysterious. Many astrophysicists and cosmologists believe these behemoths lurk at the center of virtually all galaxies. Recent Hubble Space Telescope observations have bolstered the theory that supermassive black holes get their start in the dusty cores of starburst galaxies, where new stars are rapidly churned out, but scientists are still researching the phenomenon.

Don't think of the new M87* image as an enhancement of the 2019 image, but an independent reconstruction using the exact same data, said Tod Lauer, a collaborator on the project from NOIRlab. Credit: Event Horizon Telescope

Black holes don't have surfaces, like on a planet or star. Instead, they have a boundary called an "event horizon" — a point of no return. If anything swoops too close, it will fall in, never to escape the hole's gravitational pull.

The reprocessed image of M87* brings that boundary into even greater focus. In an interview with Mashable in 2019, astrophysicist Misty Bentz, who researches black holes at Georgia State University, emphasized the significance of humans now being able to see the evidence of an event horizon.

The hottest, most squeezed gas lies just at the edge of the event horizon, destined to soon disappear into the abyss.

"It's the last little scream of the gas until we can't hear it scream anymore," she said.