Explore content related to EVOBYTE Digital Biology products and services
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This week’s top spatial transcriptomics papers 🧬 Week 15
Single-cell and spatial analyses map the maternal–fetal interface, placentation, and immune tolerance, linking genetics to pregnancy health and disease.
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Best Free Spatial Omics Datasets: IHC, WSIs & Multi-Omics
Open spatial omics datasets for benchmarking: HuBMAP, SODB, METASPACE, GDC, and HPA—covering IHC, WSIs, and multi-omics.
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AI-powered lab reports: turning results into conversations
In a Digital Lab, turn static PDFs into living conversations with an AI Assistant that explains terms and speeds customer support.
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Spatial Transcriptomics: Assigning Cell Types in Tissue
Spatial Transcriptomics often mixes signals from neighboring cells. Learn to assign cell types and regions using deconvolution and reference maps.
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Foundation Models for Cell Biology: An Overview
Foundation models for cell biology unlock fast, cross-dataset insights from massive single-cell data, enabling rapid annotation and perturbation ideas.
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Digital Twin Models for the Laboratory: Turning HPLC Data into Digital Products
A Laboratory Digital Twin learns from rich analytical records—especially from HPLC—and becomes a digital product that optimizes methods and shortens development…
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Imaging-Based Spatial Transcriptomics: Preprocessing and QC
This guide on imaging-based spatial transcriptomics preprocessing and QC explains how resolution and tissue morphology impact data quality.
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Augmented reality for the digital lab
By EVOBYTE Your partner for the digital lab Augmented Reality places digital information into a worker’s field of view while […]
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Seq-Based Spatial Transcriptomics: Platforms & Analysis
Discover sequencing-based spatial transcriptomics: Visium vs Curio Seeker, and how to start your first analysis.
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Agent Tools for Biological Discovery: AI data analysis
Discover how AI agents analyze biological data, guard statistics, and harmonize ontologies to accelerate reproducible insights.
