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Revvity

Revvity provides health science solutions, technologies, expertise and services that deliver complete workflows from discovery to development, and diagnosis to cure. Revvity is revolutionizing what’s possible in healthcare, with specialized focus areas in translational multi-omics technologies, biomarker identification, imaging, prediction, screening, detection and diagnosis, informatics and more. Revvity serves customers across pharmaceutical and biotech, diagnostic labs, academia and governments.

Latest Revvity Content

A robotic hand and human finger touch, emitting light, surrounded by digital circuits and neural patterns in a futuristic scene.
App Note / Case Study

Leverage AI To Perform Cell Segmentation on Brightfield Images

This application note showcases how an AI-based module has been trained to analyze brightfield images for cell segmentation, allowing insights into cell proliferation and cell morphology without the need for manual drawing on images.
Double helix structure of DNA.
Product News

Revvity Broadens Relationship With Genomics England To Advance Genomics in the UK

Revvity, Inc. (NYSE: RVTY), announced an expansion of its work with Genomics England that leverages both organizations' expertise and resources to advance critical genomic initiatives across the United Kingdom.
AI written on a computer chip.
Product News

Revvity Introduces Transcribe AI: Revolutionizing Data Entry in Clinical Laboratories

Revvity, Inc. (NYSE: RVTY) announced the launch of Revvity Transcribe AI, an innovative optical character recognition (OCR) service designed to convert handwritten text on test request forms into a digitized format.
Double helix structure of DNA.
Product News

Revvity’s EUROIMMUN Launches Solution for Specific Typing of Alzheimer’s Disease Associated APOE Gene

APOE genotyping allows assessment of a patient’s risk for adverse effects from new anti-amyloid therapy for Alzheimer’s.
RNA Polymerase II transcribing DNA into RNA.
Industry Insight

Getting New Drug Modalities to Market: How Can Your Data Strategy Help?

This article explores the revolution in new drug modalities and the challenges around effective data strategies to support AI efforts.
This image depicts a 3D molecular structure of a protein, with intricate spirals, helices, and strands in vibrant colors such as pink, yellow, and purple.
App Note / Case Study

Optimizing miRNA Research for Low-Input Samples

This application note provides insights into innovative methodologies designed to enhance miRNA discovery and mapping from low-input samples.
two speech bubbles hovering over a digital interface. The first speech bubble prominently displays the text "AI" in large, glowing letters, while the second contains three dots (representing a typing indicator).
Whitepaper

Harnessing AI in Cellular Imaging for Faster and Smarter Drug Discovery

This whitepaper explores how artificial intelligence (AI), machine learning (ML) and deep learning (DL) are transforming cellular imaging and drug discovery, enabling researchers to analyze complex datasets with unprecedented speed and accuracy.
Molecular model in the background and three vials in the foreground containing pink, blue, and green liquids, suggesting a laboratory setting related to chemistry.
App Note / Case Study

Discover Automated Tissue Homogenization for LC-MS Analysis


This application note explores how automated workstations for tissue sample weighing and homogenization can increase efficiency and quality of results.
Gold-colored molecular structures fill the screen, with the Revvity logo in the top left corner.
Webinar

Real-World Insights on Cell and Gene Therapy Development: Navigating the Complexities of Critical Quality Attributes

On-Demand
In this webinar, you’ll gain insights from experts in CGT development who will explore their experiences of CQA assays, sharing advice on how to overcome the challenges you may face in your CGT journey.
Scientist using a pair of tweezers to remove a section of DNA.
Industry Insight

Next Generation Precision Genome Editing: Combining Multiple Advances To Create Safer Gene Therapies

In this article, Michelle Fraser and Amanda Haupthow discuss how engineered nucleases in combination with next-generation base editing platforms are paving the way for the development of novel treatments for genetic disorders and diseases.
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