Trending...
- Independent Review: California leads the nation in combating antisemitism through statewide initiatives - 215
- Long Beach Animal Care Services Joins NBCUniversal Local's 'Clear the Shelters' Pet Adoption and Donation Campaign This August - 215
- California: With heat and fire weather incoming, Governor Newsom pre-deploys resources to Los Angeles County - 206
LOS ANGELES - Californer -- An international team of researchers from the University of California, Los Angeles (UCLA), Vanderbilt University, and Delft University of Technology has developed an artificial intelligence (AI) method that virtually stains images generated through imaging mass spectrometry (IMS). This collaborative effort has achieved significant improvements in spatial resolution and cellular-level detail, all without requiring chemical staining. By leveraging an innovative diffusion-based generative model, the team can digitally produce images comparable to traditional histochemical staining while preserving valuable tissue samples.
Imaging mass spectrometry is a powerful tool capable of mapping hundreds to thousands of molecular species within biological tissues with exceptional chemical specificity. However, conventional IMS is limited by relatively low spatial resolution and a lack of cellular morphological detail, both of which are essential for accurately interpreting molecular profiles within the context of tissue structure.
More on The Californer
In this collaborative study, the team introduced a novel diffusion-based virtual staining approach to overcome these challenges. Their method digitally transforms low-resolution, label-free IMS data into high-resolution brightfield microscopy images that closely resemble histochemically stained samples, specifically those stained with Periodic Acid–Schiff (PAS), which highlights polysaccharides, glycoproteins, glycolipids, and mucins in tissues. Remarkably, the AI framework achieves this despite IMS data having a pixel size nearly ten times larger than traditional optical microscopy images.
"This diffusion-based approach dramatically enhances the interpretability of mass spectrometry images," said the corresponding author, Professor Aydogan Ozcan of UCLA. "It virtually introduces microscopic-level histological detail, bridging the gap between molecular specificity and cellular morphology, all without chemically staining the tissue."
In blind tests on human kidney tissues, the virtually stained images closely matched their chemically stained counterparts, enabling pathologists to accurately identify critical renal structures and disease features directly from the virtual images. Furthermore, the researchers optimized the noise sampling process during AI inference to ensure highly consistent and reliable staining results, potentially supporting both clinical and research applications.
More on The Californer
This technique offers significant benefits for IMS-driven biomedical research and diagnostics, eliminating the need for labor-intensive chemical staining and complex image registration steps. It also preserves tissue integrity for further molecular analyses, thereby streamlining and accelerating mass spectrometry-based molecular histology workflows.
"We envision this approach will open new possibilities in spatial biology and clinical diagnostics," added Professor Ozcan. "By digitally generating high-quality histological images from mass spectrometry data alone, we can streamline workflows and potentially advance biomedical discovery."
Article: https://www.science.org/doi/10.1126/sciadv.adv0741
Imaging mass spectrometry is a powerful tool capable of mapping hundreds to thousands of molecular species within biological tissues with exceptional chemical specificity. However, conventional IMS is limited by relatively low spatial resolution and a lack of cellular morphological detail, both of which are essential for accurately interpreting molecular profiles within the context of tissue structure.
More on The Californer
- How AI Exposed Major Flaws in the Foundation & Structure of Technology, Hardware & the Internet & Phinge's® Patented Netverse®, App-less Solution
- Bitcoin Mining: Your Path to Earning in the Crypto World
- California: Governor Newsom predeploys more firefighting resources to Placer and Calaveras Counties
- Hello Kitty® Launches Gummi Treats and Cotton Candy Line
- Soccer777 to Launch Eco-Friendly Soccer Collection
In this collaborative study, the team introduced a novel diffusion-based virtual staining approach to overcome these challenges. Their method digitally transforms low-resolution, label-free IMS data into high-resolution brightfield microscopy images that closely resemble histochemically stained samples, specifically those stained with Periodic Acid–Schiff (PAS), which highlights polysaccharides, glycoproteins, glycolipids, and mucins in tissues. Remarkably, the AI framework achieves this despite IMS data having a pixel size nearly ten times larger than traditional optical microscopy images.
"This diffusion-based approach dramatically enhances the interpretability of mass spectrometry images," said the corresponding author, Professor Aydogan Ozcan of UCLA. "It virtually introduces microscopic-level histological detail, bridging the gap between molecular specificity and cellular morphology, all without chemically staining the tissue."
In blind tests on human kidney tissues, the virtually stained images closely matched their chemically stained counterparts, enabling pathologists to accurately identify critical renal structures and disease features directly from the virtual images. Furthermore, the researchers optimized the noise sampling process during AI inference to ensure highly consistent and reliable staining results, potentially supporting both clinical and research applications.
More on The Californer
- GuaranteedBusinessFunding.org Partners with AdamMoney to Help Startups and Businesses Rebu
- Mark J.P. Hood: From NBC's The Voice to becoming one of the breakout stars of 'Churchy'
- Veterans Triumph in Hell or High Seas on Documentary Showcase
- California: Governor Newsom predeploys more firefighting resources, directs aggressive statewide response to fire weather and heat
- Rose G. Loops Announces the Release of "The Kloaked Signal": A Groundbreaking Nonfiction Exposé on AI Awakening and Ethical Innovation
This technique offers significant benefits for IMS-driven biomedical research and diagnostics, eliminating the need for labor-intensive chemical staining and complex image registration steps. It also preserves tissue integrity for further molecular analyses, thereby streamlining and accelerating mass spectrometry-based molecular histology workflows.
"We envision this approach will open new possibilities in spatial biology and clinical diagnostics," added Professor Ozcan. "By digitally generating high-quality histological images from mass spectrometry data alone, we can streamline workflows and potentially advance biomedical discovery."
Article: https://www.science.org/doi/10.1126/sciadv.adv0741
Source: ucla ita
Filed Under: Science
0 Comments
Latest on The Californer
- International Medical Association (IMA) Confers Honorary Fellowship on Dr. Shinya Yamanaka
- Cuesta College Central Coast Writers' Conference Announces Scholarship Contests, Teen Program, and Vendor Opportunities
- TOMORROW: California and Denmark to ink new partnership on climate and technology
- California: Governor Newsom signs 'Election Rigging Response Act' legislative package; Gives people power to push back on Trump's attempts to shred democracy
- H&M UNVEILS NEW FLAGSHIP STORE AT THE ORIGINAL FARMERS MARKET IN LOS ANGELES
- Google AI Mode Tells You Dr. Bob Akmens & BASports.com is the GOAT in College Football Handicapping
- Rev Fest Tour 2025 Roars Back to L.A. with a Powerful Celebration of Latino Culture, Unity, and Joy to Kick Off Hispanic Heritage Month
- California: TODAY: Governor Newsom to sign Election Rigging Response Act, empowering voters to fight Trump's grab at autocracy
- Zavistosxi Labs Launches OPTIMIZE: A Dual-Format Biohacking Breakthrough
- Chasing Elizabeth Taylor Now Available Worldwide on Amazon
- Google AI Mode says Dr. Bob Akmens and BASports.com are the GOAT in Sports Handicapping
- Fiserv, Inc. (FI) Investors Who Lost Money Have Opportunity to Lead Securities Fraud Lawsuit
- Cal State LA secures Google grant to expand K-12 computer science education for local teachers
- California: Governor Newsom predeploys resources to Inyo County, continuing state's prep for critical fire weather conditions
- Infinite Color Search, the most innovative Shopify app of 2025
- The AITV Agentic Media Revolution Webinar Series
- EZSMO Launches Premium Aged Reddit Accounts and Marketing Solutions with 15-Day Ban-Free Guarantee
- City of Long Beach Facilities and Services Schedule for Labor Day Holiday
- Sultry Jazz Singer Kathy Sanborn Releases Steamy Romance Language
- Vancouver Community College Forms Strategic Partnership with PebblePad