Company patents
Illumina, Inc.
Illumina, Inc. demonstrates a strong and consistent focus on its core 'Genetic & Microbiological Assays' with 44.1% of its total patent portfolio. While there's a broad distribution across various technology areas, the significant year-over-year growth in 'Image Processing' (YoY +72.7% in 2025) and 'Pattern Recognition & ML Models' (YoY +45.5% in 2025) suggests an emerging strategic emphasis on advanced computational and AI-driven analytics, despite the partial data for 2026 showing a general decline across most categories so far.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
1,148 US filings (since 2023) · 12 categories · 32 themes
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Methods and reagents designed to improve the specificity, efficiency, or yield of nucleic acid capture, ligation, amplification, or library preparation steps, particularly for sequencing applications or quantitative analysis.
Computational techniques and algorithms for processing, aligning, and interpreting raw biological sequence data (DNA, RNA, protein), including identifying genetic variations, classifying organisms, or predicting sequence attributes.
Self-contained or modular devices designed to automate and integrate multiple steps of molecular diagnostic assays, from sample preparation to result interpretation, often for point-of-care or high-throughput applications.
Assays leveraging CRISPR-Cas systems (e.g., Cas12, Cas13) for highly specific and sensitive detection of target nucleic acids, often involving collateral cleavage activity or reporter molecules.
Identification and measurement of specific nucleic acid sequences (DNA, RNA), their expression levels, or epigenetic modifications (e.g., methylation) as indicators for disease presence, progression, risk, or treatment response.
Applying computational methods, often involving machine learning and multiomics data, to design, analyze, and understand biomolecules, genetic sequences, or complex biological systems.
Miniaturized devices that manipulate small volumes of fluids (nanoliters to picoliters) through microchannels to perform laboratory functions like mixing, separation, reaction, and detection on a single chip.
Computational methods and systems for analyzing biological data (e.g., genomic, proteomic, clinical) to diagnose diseases, predict patient prognosis, assess treatment response, or stratify patients for therapy.
Systems and components designed for precise, automated manipulation, transfer, and dispensing of liquid samples and reagents, often involving pipettes, robotic arms, and specialized sample containers.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Methods and equipment for applying photoresist uniformly onto wafers, forming patterns through various exposure techniques (e.g., direct imaging, multi-exposure), and integrating patterned layers into semiconductor structures or packaging.
Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.
Apparatus and methods for precisely controlling temperature profiles (heating, cooling, incubation) within laboratory reaction vessels or modules to optimize biochemical processes like gene amplification or protein assays.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Methods and kits for amplifying nucleic acids at a constant temperature, enabling faster results and point-of-care applications, often used for pathogen or contamination detection.
Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.
Methods and systems for combining and analyzing diverse biological datasets (e.g., genomics, transcriptomics, proteomics, metabolomics) to uncover complex biological relationships, disease mechanisms, or temporal trajectories.
Techniques for identifying microorganisms, assessing their viability, quantifying their presence, profiling their metabolic activity, or determining their susceptibility to antimicrobial agents, often in complex biological or environmental samples.
Development of novel chemical compositions for photoresists, including polymers, sensitizers, and crosslinking agents, to achieve improved lithographic performance such as resolution, sensitivity, line edge roughness, and etch resistance.
Innovations in the design, materials, and manufacturing of lithography masks, including reflective masks, programmable masks, and defect mitigation strategies, to enable finer feature patterning and process control.
Development and use of engineered biological systems, such as organ-on-a-chip devices, dynamic hydrogels, or genetically modified cells, to mimic physiological conditions, study disease mechanisms, screen compounds, or develop cell-based therapies.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
Devices and systems designed for the cultivation of cells or tissues, often incorporating three-dimensional structures or controlled interfaces to mimic in-vivo environments for biological research or production.
Systems that combine light sources, waveguides, and display elements into unified products for backlighting, automotive applications, general lighting, or color-corrected displays.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Engineering approaches to improve the efficiency, control, and performance of chemical reactors, encompassing continuous processes, heat exchange integration, and specialized reactor configurations for various chemical transformations.
Engineering of artificial subwavelength structures (meta-atoms) to create metasurfaces that manipulate light properties (phase, polarization, wavelength) for multi-functional optical devices.
Algorithms and hardware optimizations for rapidly identifying and characterizing relevant visual features (e.g., objects, motion, gradients) from images or video streams, often integrating machine learning for feature representation and recognition, with a focus on real-time performance and reduced computational cost.
Patents
Showing 1-10 of 28
Video Quality & Encoding Optimization