Breaking News
December 14, 2018 - New discovery will improve the safety and predictability of CRISPR
December 14, 2018 - Geneticists discover how sex-linked disorders arise
December 14, 2018 - New method to visualize small-molecule interactions inside cells
December 14, 2018 - Study describes mechanism that makes people more vulnerable to hunger-causing stimuli
December 14, 2018 - Chronic opioid therapy associated with increased healthcare spending and hospital stays
December 14, 2018 - Blood Types
December 14, 2018 - Obesity linked to increased risk of early-onset colorectal cancer
December 14, 2018 - Blood test helps identify distinct molecular signatures in children with cystic fibrosis
December 14, 2018 - Scientists use water to track electrical activity of nerve cells
December 14, 2018 - Recurrence of urinary tract infection may depend on bacterial strain, study shows
December 14, 2018 - GBT Announces U.S. FDA Agrees with its Proposal Relating to Accelerated Approval Pathway for Voxelotor for the Treatment of Sickle Cell Disease and GBT Plans to Submit New Drug Application (NDA)
December 14, 2018 - Partial Thromboplastin Time (PTT) Test: MedlinePlus Lab Test Information
December 14, 2018 - Common tactics for health promotion at work may be detrimental to employees with obesity
December 14, 2018 - Myths about migration and health not supported by available evidence
December 14, 2018 - Recent findings on rare genetic disorder may help develop new treatment options
December 14, 2018 - New drug shows promise in treating sarcomas
December 14, 2018 - Scientists perform lung lavage as new approach for tuberculosis diagnosis in rhinoceros
December 14, 2018 - Recent winners of the Nobel Medicine Prize
December 14, 2018 - KHN’s ‘What the Health?’ Insurance enrollment is lagging — and there are lots of reasons why
December 14, 2018 - Study assesses safety and efficacy of new treatment for pancreatic cancer
December 14, 2018 - Study finds drug targets for Ebola, Dengue, and Zika viruses
December 14, 2018 - Study highlights need for personalized approach to treat ICU acquired delirium
December 14, 2018 - Soot particles from road traffic significantly contribute to air pollution
December 14, 2018 - Massage helps relieve pain, improve mobility in patients with knee osteoarthritis
December 14, 2018 - Researchers explore home healthcare nurses’ knowledge attitudes toward infection control
December 14, 2018 - Average outpatient visit in the U.S. costs nearly $500, shows new study
December 14, 2018 - Reference Infliximab, Biosimilar Equivalent for Crohn’s Disease
December 14, 2018 - New contact lens to treat eye injuries
December 14, 2018 - Acne could have a genetic basis find researchers promising new cure
December 14, 2018 - Higher physical activity associated with improved mood
December 14, 2018 - New UGA study points to optimal hypertension treatment for stroke patients
December 14, 2018 - Study highlights factors that can reduce food cravings
December 14, 2018 - Researchers discover Ebola-fighting protein in human cells
December 14, 2018 - Fentanyl surpasses heroin in cause of U.S. drug overdose deaths
December 14, 2018 - When Heart Attack Strikes, Women Often Hesitate to Call for Help
December 14, 2018 - A warning about costume contacts
December 14, 2018 - Study examines link between peripheral artery disease and heart attack
December 14, 2018 - Researchers develop biotechnological tool to produce antifungal proteins in plants
December 14, 2018 - 3D-printed adaptive aids can benefit patients with arthritis
December 14, 2018 - Chronic bullying during adolescence impacts mental health
December 14, 2018 - Integral Molecular and Merus collaborate to develop bispecific antibody therapeutics
December 13, 2018 - Importance of cell cycle and cellular senescence in the placenta discovered
December 13, 2018 - Gold “nanoprisms” open new window into vessels and single cells
December 13, 2018 - Research findings could lead to new targets for cancer-fighting therapeutics
December 13, 2018 - Butantan Institute signs collaboration agreement with MSD to develop dengue vaccines
December 13, 2018 - Study explores how patients want to discuss symptoms with doctors
December 13, 2018 - RUDN medics first to gather scattered data on hepatitis morbidity in Somalia
December 13, 2018 - Age and gender disparities found in use of bed nets to prevent malaria in sub-Saharan Africa
December 13, 2018 - Caffeine therapy benefits developing brains of premature babies
December 13, 2018 - New review focuses on electrospinning techniques used in musculoskeletal tissue engineering
December 13, 2018 - A new division focused on human immune system
December 13, 2018 - Zogenix Announces Positive Phase 3 Trial Results on the Efficacy and Safety of Fintepla (ZX008) in Dravet Syndrome
December 13, 2018 - BCR ABL Genetic Test: MedlinePlus Lab Test Information
December 13, 2018 - Caffeinated beverages during pregnancy linked to lower birth weight babies
December 13, 2018 - Stanford Medicine Health Trends Report examines opportunity to democratize health care
December 13, 2018 - Obsessive-compulsive disorder may protect individuals from obesity
December 13, 2018 - Scientists investigate how a painful event is processed in the brain
December 13, 2018 - Genetic study reveals new insights into underlying causes of moderate-to-severe asthma
December 13, 2018 - Study uncovers new genetic clues to frontotemporal dementia
December 13, 2018 - Vitamin C supplementation for pregnant smokers may reduce harm to infants’ lungs
December 13, 2018 - New study reveals yin-yang personality of dopamine
December 13, 2018 - Research identifies nerve-signaling pathway behind sustained pain after injury
December 13, 2018 - Children with high levels of callous traits show widespread differences in brain structure
December 13, 2018 - Long-term Benefit of Steroid Injections for Knee Osteoarthritis Challenged
December 13, 2018 - Adding new channels to the brain remote control
December 13, 2018 - In the Spotlight: A different side of neuroscience
December 13, 2018 - Medical Marvels: Using immunotherapy for melanoma that spread to the brain
December 13, 2018 - Puzzles do not keep dementia away finds study
December 13, 2018 - New mouse model shows potential for rapid identification of promising muscular dystrophy therapies
December 13, 2018 - Study reveals urban and rural differences in prenatal exposure to essential and toxic elements
December 13, 2018 - New collaborative partnership in quest of novel antibiotics
December 13, 2018 - Single tau molecule holds clues to help diagnose neurodegeneration in its earliest stages
December 13, 2018 - AHA Scientific Statement: Low Risk of Side Effects for Statins
December 13, 2018 - What Is Acute Flaccid Myelitis?
December 13, 2018 - How bereaved people control their thoughts without knowing it
December 13, 2018 - Health care democratization underway, according to 2nd annual Stanford Medicine Health Trends Report | News Center
December 13, 2018 - Going Beyond a Single Color
December 13, 2018 - London-based startup launches ‘thedrug.store’ aiming to clean up CBD industry
December 13, 2018 - Loss of tight junction barrier protein results in gastric cancer development
December 13, 2018 - Novel way to efficiently deliver anti-parasitic medicines
Deep learning enhances smartphone microscopes into laboratory-grade equipments

Deep learning enhances smartphone microscopes into laboratory-grade equipments

image_pdfDownload PDFimage_print

Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. The technique improves the resolution and color details of smartphone images so much that they approach the quality of images from laboratory-grade microscopes.

The advance could help bring high-quality medical diagnostics into resource-poor regions, where people otherwise do not have access to high-end diagnostic technologies. And the technique uses attachments that can be inexpensively produced with a 3-D printer, at less than $100 a piece, versus the thousands of dollars it would cost to buy laboratory-grade equipment that produces images of similar quality.

Cameras on today’s smartphones are designed to photograph people and scenery, not to produce high-resolution microscopic images. So the researchers developed an attachment that can be placed over the smartphone lens to increase the resolution and the visibility of tiny details of the images they take, down to a scale of approximately one millionth of a meter.

But that only solved part of the challenge, because no attachment would be enough to compensate for the difference in quality between smartphone cameras’ image sensors and lenses and those of high-end lab equipment. The new technique compensates for the difference by using artificial intelligence to reproduce the level of resolution and color details needed for a laboratory analysis.

The research was led by Aydogan Ozcan, Chancellor’s Professor of Electrical and Computer Engineering and Bioengineering, and Yair Rivenson, a UCLA postdoctoral scholar. Ozcan’s research group has introduced several innovations in mobile microscopy and sensing, and it maintains a particular focus on developing field-portable medical diagnostics and sensors for resource-poor areas.

“Using deep learning, we set out to bridge the gap in image quality between inexpensive mobile phone-based microscopes and gold-standard bench-top microscopes that use high-end lenses,” Ozcan said.

“We believe that our approach is broadly applicable to other low-cost microscopy systems that use, for example, inexpensive lenses or cameras, and could facilitate the replacement of high-end bench-top microscopes with cost-effective, mobile alternatives.”

He added that the new technique could find numerous applications in global health, telemedicine and diagnostics-related applications.

The researchers shot images of lung tissue samples, blood and Pap smears, first using a standard laboratory-grade microscope, and then with a smartphone with the 3D-printed microscope attachment. The researchers then fed the pairs of corresponding images into a computer system that “learns” how to rapidly enhance the mobile phone images. The process relies on a deep-learning-based computer code, which was developed by the UCLA researchers.

To see if their technique would work on other types of lower-quality images, the researchers used deep learning to successfully perform similar transformations with images that had lost some detail because they were compressed for either faster transmission over a computer network or more efficient storage.

The study was published in ACS Photonics, a journal of the American Chemical Society. It builds upon previous studies by Ozcan’s group that used deep learning to reconstruct holograms and improve microscopy.

Source:

Deep learning transforms smartphone microscopes into laboratory-grade devices

Tagged with:

About author

Related Articles