Showing posts with label data vis. Show all posts
Showing posts with label data vis. Show all posts

Monday, July 5, 2021

On Engineering Artificial Eyeballs

Enhanced vision -- seeing the invisible, zooming-in past the limits of microscopy, making artificial eyeballs from scratch to give sight to the blind -- nothing says welcome to the future like advances in vision technology. 

Image credit: Sorry I can't find the source for this, but you can call it face-rec camo-tech. It makes you invisible. 

New method could democratize deep learning-enhanced microscopy
Mar 2021, phys.org
Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it's often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible—by taking high-resolution images, and artificially degrading them.

The new tool, which the researchers call a "crappifier," could make it significantly easier for scientists to get detailed images of cells or cellular structures that have previously been difficult to observe because they require low-light conditions, such as mitochondria, which can divide when stressed by the lasers used to illuminate them. 
Yes, the crappifier. If you have any idea how neural network machine learning works, you will immediately get why this is some sneaky shit.

They take good microphotographs (example: Nikon Small World Gallery) and intentionally make them crappy and hard to see. They degrade the photo artificially, but then train the network backwards to learn how to make a good photo out of a bad one. Once it's trained, they start giving it "naturally" bad photos of things we can't get good pictures of with current microscopic technology, and let it apply what it learned about bad photos. 

via Salk Institute: Deep learning-based point-scanning super-resolution imaging, Nature Methods (2021). DOI: 10.1038/s41592-021-01080-z

Smartphone camera used to diagnose viral infections
Dec 2020, phys.org

Full circle, we will soon be tossing coffee grinds on the table to predict the future. Here's an exapmle of how we can now see things we didn't even know we were looking for, like how the bubbles in your body-fluid broth have written in them your viral exposome. 
Body fluid samples are placed into a channel on the catalytic microchip device, which is then doused with a small amount of hydrogen peroxide. The resulting reaction leads to the formation of bubbles. The bubbles develop in unique patterns based in part on viruses in the fluid sample. The user points their smartphone camera at the bubbling sample and launches the deep-learning algorithm that has already been trained to identify the patterns and thereby recognize the presence of viruses.

Mohamed S. Draz et al. Virus detection using nanoparticles and deep neural network–enabled smartphone system, Science Advances (2020). DOI: 10.1126/sciadv.abd5354
Zoom hack reveals text contents by viewing shoulder movement
Nov 2020, phys.org

Jesus make it stop:
"They focused on the movement of their shoulders and arms to extrapolate the actions of their fingers as they typed."

"In a controlled setting, with specific chairs, keyboards and webcam, Jadiwala said he achieved an accuracy rate of 75 percent. However, in uncontrolled environments, accuracy dropped to only one out of every five words being correctly identified."

via the University of Texas: Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks, Murtuza Jadiwala et al. arXiv:2010.12078 [cs.CR] arxiv.org/abs/2010.12078

Discovery makes the invisible visible
Jan 2021, phys.org

The nano-revolution comes to phase contrast microscopy. Sub-surface Nanoaperture Arrays.

via La Trobe Institute for Molecular Science: Eugeniu Balaur et al. Plasmon-induced enhancement of ptychographic phase microscopy via sub-surface nanoaperture arrays, Nature Photonics (2021). DOI: 10.1038/s41566-020-00752-0

Mantis shrimp inspires new breed of light sensors
Mar 2021, phys.org

The mantis shrimp strikes again, patron saint of all superhuman vision technology. Hyperspectral. 

via North Carolina State University: "Mantis shrimp-inspired organic photodetector for simultaneous hyperspectral and polarimetric imaging" Science Advances (2021).


For those artificial retinas you've been waiting for:
Color-sensitive inkjet-printed pixelated artificial retina based on semiconducting polymers
Jan 2021, phys.org

Manuela Ciocca et al. Colour-sensitive conjugated polymer inkjet-printed pixelated artificial retina model studied via a bio-hybrid photovoltaic device, Scientific Reports (2020). DOI: 10.1038/s41598-020-77819-z

Retinal implants can give artificial vision to the blind
Mar 2021, phys.org

via Ecole Polytechnique Federale de Lausanne: Naïg Aurelia Ludmilla Chenais et al. Photovoltaic retinal prosthesis restores high-resolution responses to single-pixel stimulation in blind retinas, Communications Materials (2021). DOI: 10.1038/s43246-021-00133-2

Color blindness-correcting contact lenses
Mar 2021, phys.org

via American Chemical Society: Ahmed E. Salih et al. Gold Nanocomposite Contact Lenses for Color Blindness Management, ACS Nano (2021). DOI: 10.1021/acsnano.0c09657

Wednesday, January 13, 2021

Face Rec and Image Tech


Deepfake used to attack activist couple shows new disinformation frontier
Experts in deceptive imagery used state-of-the-art forensic analysis programs to determine that Taylor’s profile photo is a hyper-realistic forgery - a “deepfake.”
Something about the Ventriloquist's Dummy and the dangers of impersonating an influential leader.



Image cloaking tool thwarts facial recognition programs
Aug 2020. phys.org

Reverse camoufaluge? Fill the pool with dirty data; it's a simple approach. This technique is named Fawkes after the V for Vendetta guy, also known as the Anonymous Mask from the online shadow activist group circa 2010.

"What we are doing is using the cloaked photo in essence like a Trojan Horse, to corrupt unauthorized models to learn the wrong thing about what makes you look like you and not someone else," Fawkes co-creator Ben Zhao, a computer science professor at the University of Chicago, said.

"Our original goal was to serve as a preventative measure for Internet users to inoculate themselves against the possibility of some third-party, unauthorized model," the team recently stated in a FAQ sheet.


Deepfake detection tool unveiled by Microsoft
Sep 2020, BBC News
"The only really widespread use we've seen so far is in non-consensual pornography against women," commented Nina Schick, author of the book Deep Fakes and the Infocalypse.

"But synthetic media is expected to become ubiquitous in about three to five years, so we need to develop these tools going forward

Synthetic media and fingerprinted news - Microsoft has teamed up with the BBC, among other media organisations, to support Project Origin, an initiative to "mark" online content in a way that makes it possible to spot automatically any manipulation of the material.

New photon-counting camera captures 3-D images with record speed and resolution
Apr 2020, phys.org

24,000 fps:
The camera's speed makes it possible to measure the time a photon hits the sensor very precisely. This information can be used to calculate how long it takes individual photons to travel the distance from a source to the camera, known as time-of-flight. Combining time-of-flight information with the ability to capture a million pixels simultaneously enables extremely high-speed reconstruction of 3-D images.