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Independent Microscope Reviews
Independent Microscope Reviews
Independent reviews of fluorescence microscopes for cell counting, confluence detection, and live cell imaging in Cambridge, Essex, Birmingham, Leicester and across the UK.
Image: Thermo Fisher Scientific
The EVOS M3000 is the best entry-level fluorescence microscope for UK research labs. It is the only system available at entry-level pricing with fully integrated two-colour fluorescence (GFP/RFP), automated cell counting, and confluence detection. Features touchscreen control, LED illumination, and network connectivity. Captures publication-quality images and measures cell health with one tap. No external PC required.
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Image: Thermo Fisher Scientific
Professional fluorescence microscope with four-colour fluorescence imaging and 18.5-inch HD articulated monitor. Features stage-tracking and Z-stack capability for advanced cell biology research. Supports time-lapse imaging for live cell studies with precise multi-position scanning. Ideal for demanding laboratories requiring professional-grade optics and automated image acquisition.
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Image: Thermo Fisher Scientific
The CellInsight CX7 LED Pro is a high content screening platform designed for automated multi-parameter cell analysis. Fast LED illumination and integrated HCS Studio software enable rapid screening of compounds and genetic perturbations. Cell painting support with six fluorescent channels and automated TIFF export for AI pipelines makes this ideal for drug discovery research in UK pharmaceutical laboratories.
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Image: Thermo Fisher Scientific
The EVOS S1000 Spatial Imaging System is a high-performance, multi-modal instrument for imaging tissue slides with multiplex spectral fluorescence. It streamlines spatial localization of proteins in tissue sections with automated scanning and integrated analysis tools. Perfect for histology labs, pathology research, and spatial biology applications requiring high-resolution tissue imaging.
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Image: Thermo Fisher Scientific
The EVOS M7000 is the flagship automated imaging system for demanding research applications. Fully automated operation with multi-channel fluorescence, 3D Z-stacking, and environmental control makes it ideal for complex live-cell studies, high-throughput screening, and advanced quantitative imaging. Perfect for core facilities and research labs needing walk-away automation.
View Product →The IX73 is a reliable, upgradeable inverted microscope built for long-term research use. Its modular design allows laboratories to start with basic phase contrast and add fluorescence or DIC modules as projects evolve. The proven UIS2 optics system delivers excellent image quality for live-cell time-lapse studies, making it a popular choice for developmental biology research.
View Product →The CKX53 is a practical inverted microscope designed for teaching environments and routine cell culture work. Its compact footprint fits comfortably inside standard tissue culture hoods, protecting samples from contamination. Optional fluorescence modules allow laboratories to add imaging capabilities without replacing the entire system, making it an economical choice for starter labs and undergraduate teaching facilities.
View Product →The Nikon Eclipse Ts2 is a compact inverted microscope with proven optics for routine cell culture and basic fluorescence. Its familiar mechanical design and optional fluorescence module make it suitable for teaching laboratories and facilities transitioning from brightfield microscopy. The simple, reliable construction minimises maintenance requirements while delivering consistent image quality for everyday cell monitoring tasks.
View Product →The Opera Phenix delivers spinning disk confocal imaging with water immersion objectives for high-resolution cell-based assays. Reduced phototoxicity compared to traditional confocal systems enables longer live-cell imaging sessions. Integrated Harmony software provides automated image analysis workflows for high-content screening, making this system ideal for drug discovery applications requiring gentle imaging of sensitive cellular samples over extended time periods.
Note: Opera Phenix is now part of Revvity. Link unavailable due to site restrictions.
Search for Opera Phenix →The EVOS S1000 Spatial Imaging System enables spatial biology research by visualising cellular neighbourhoods with up to nine simultaneous fluorescent targets. Single-round multiplexing without bleaching preserves sample integrity while delivering confocal-quality images. Compatible with standard fluorophores and antibodies, this system makes advanced tissue analysis accessible for cancer research and drug discovery programmes without requiring complex infrastructure investments.
View EVOS S1000 →The Yokogawa CV8000 provides high-speed confocal imaging with a proprietary scanning unit for demanding high-content screening applications. Multi-well plate compatibility and rapid image acquisition enable screening of thousands of compounds daily. Integrated CellPath software streamlines image analysis workflows from acquisition to quantification, making this system well-suited for pharmaceutical screening and toxicology studies requiring consistent, reproducible results at scale.
View Product →Cell Painting is a high-content imaging assay that uses six fluorescent dyes to paint different cellular compartments. Developed at the Broad Institute, it creates morphological profiles for classifying cellular states.
Stains DNA in the nucleus. Reveals nuclear shape, size, and chromatin organization.
Labels endoplasmic reticulum and Golgi. Shows protein synthesis and secretion pathways.
Nucleic acid stain that labels RNA in nucleoli and cytoplasm. Fluoresces green when bound to RNA, making it useful for visualising transcriptionally active regions and nucleolar structure.
Labels active mitochondria. Reveals metabolic state and mitochondrial morphology.
Stains actin filaments. Shows cell shape, cytoskeleton, and adhesion.
Labels plasma membrane and Golgi. Indicates cell-cell boundaries and adhesion.
Cell painting was invented by Anne Carpenter and colleagues at the Broad Institute. It has become a cornerstone technique for phenotypic screening and drug discovery, generating over 1,500 morphological features per cell.
Accelerating Drug Discovery with Expanded Cell Painting. Overview of the Image-iT Cell Painting Kit paired with the CellInsight CX7 LED Pro Platform, including a p53 knockout case study in A549 cells.
Official Thermo Fisher application note detailing the cell painting high-content screening assay, workflow optimisation, and spectral unmixing approaches for multiplex imaging.
"Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes" — The foundational protocol paper from Anne Carpenter's lab at the Broad Institute establishing the cell painting assay.
Browse all 215+ peer-reviewed papers from the Carpenter-Singh Lab at the Broad Institute, including image-based profiling, CellProfiler software, and drug discovery research.
"Morphological map of under- and overexpression of genes in human cells" — Latest research from the Carpenter-Singh Lab mapping gene expression effects using cell painting across thousands of genetic perturbations.
"Cell Painting predicts impact of lung cancer variants" — Demonstrates how cell painting morphological profiles can predict the functional impact of genetic variants in cancer research.
"Integrating inflammatory biomarker analysis and AI-enabled image-based profiling to identify drug targets for intestinal fibrosis" — Cell painting aided phenotypic drug discovery for challenging diseases.
Collection of press coverage, interviews, and media features about cell painting and the lab's work, including Technology Networks, Stat News, Nature Methods, and CellPress features.
Artificial intelligence is transforming cell-based assay analysis. From automated segmentation to morphological profiling, these open-source and commercial tools accelerate drug discovery and systems biology research.
A generalist algorithm for cellular segmentation that works out-of-the-box on diverse microscopy images. Cellpose 3.0 introduces one-click image restoration (denoising and deblurring) to improve segmentation quality on degraded images. Uses a custom neural network architecture trained on a broad range of cell types and imaging modalities. Open-source Python package with GPU acceleration.
Built on Meta AI's Segment Anything Model (SAM), μSAM specialises interactive and automatic annotation for microscopy and biomedical imaging. Supports 2D and 3D datasets with fine-tuned models for cellular structures. Enables rapid creation of training data and accurate segmentation with minimal user input. Integrates with napari for interactive visualisation.
Open-source software from the Carpenter-Singh Lab for cell image analysis. CellProfiler measures hundreds of features per cell including size, shape, texture, and intensity. Widely used for high-content screening, cell painting, and morphological profiling. Supports custom pipelines and integrates with machine learning workflows for phenotypic drug discovery.
xAI's multimodal model with image understanding capabilities. Grok 1.5V processes scientific diagrams, microscopy images, and documents for analysis and interpretation. While primarily a general-purpose model, its visual reasoning capabilities can assist with preliminary image assessment, figure generation, and research documentation. Available via xAI API for developers building image-analysis workflows.
A generalisable method for cell annotation and segmentation model training using active learning. Cell-APP reduces the annotation burden by intelligently selecting the most informative cells for labelling. Supports transfer learning across different cell types and imaging conditions. Published on bioRxiv with open-source implementation for high-throughput screening applications.
Joint Undertaking for Morphological Profiling — a collaborative effort producing standardised Cell Painting datasets for the scientific community. JUMP-CP provides public data, tools, and resources to enable morphological profiling research. The consortium includes pharmaceutical companies, academic institutions, and technology providers working to establish cell painting as a standard for drug discovery and functional genomics.
Curated video tutorials and demonstrations covering cell painting techniques, EVOS system workflows, and fluorescence microscopy fundamentals from leading research institutions and manufacturers.
Overview of the cell painting workflow using the Image-iT Cell Painting Kit. Demonstrates how to label six cellular compartments simultaneously and capture multi-channel fluorescence images for morphological profiling and phenotypic drug discovery.
Tutorial demonstrating how cell painting generates over 1,500 morphological features per cell. Covers p53 knockout case studies in A549 cells and how morphological profiling reveals drug mechanisms of action through AI-enabled image analysis.
Demonstration of EVOS cell imaging systems for routine cell culture monitoring and fluorescence microscopy. Shows touchscreen interface, automated cell confluency measurement, and multi-channel image acquisition for UK research laboratories.
Tutorial on Cellpose 3.0's one-click image restoration features including denoising and deblurring. Demonstrates how AI-powered preprocessing improves segmentation accuracy on degraded microscopy images before quantitative cell analysis.
Overview of the CellInsight CX7 LED Pro platform for high-content screening and cell painting. Demonstrates automated plate handling, LED illumination, six-colour fluorescence acquisition, and integrated HCS Studio software for analysis.
Demonstration of μSAM interactive segmentation built on Meta AI's Segment Anything Model. Shows how to segment cells and tissue structures in microscopy images with minimal annotation, supporting both 2D and 3D datasets.
Fluorescent microscopy uses high-intensity light to excite fluorescent molecules in biological samples. Modern LED-based systems offer longer lifespans and consistent output.
Automated fluorescence cell counting uses nuclear stains to identify and count cells. Advanced systems distinguish live vs dead cells, calculate confluence, and track proliferation.
Measuring the percentage of culture vessel covered by cells is essential for determining optimal passaging times and normalizing experiments. Modern systems calculate this automatically.
Environmental control accessory for EVOS M5000/M7000 enabling long-term live-cell imaging. Provides precise temperature, humidity, and gas control for physiologically relevant conditions. Essential for time-lapse studies and hypoxia research. Maintains stable CO2, O2, and N2 levels during extended fluorescence microscopy sessions.
Time-lapse fluorescence microscopy tracks cellular processes over hours or days. Onstage incubators maintain temperature, humidity, and CO2 for physiologically relevant conditions.
Green Fluorescent Protein (GFP) allows visualization of protein localization, gene expression, and cellular processes in real time. Multi-channel systems track multiple reporters simultaneously.
Modern microscopy platforms integrate sophisticated software for image acquisition, analysis, and data management. From vendor-specific packages to open-source alternatives, researchers have multiple options.
HCS Studio (Thermo), Harmony (PerkinElmer), MetaXpress (Molecular Devices), and ZEN (Zeiss) offer seamless hardware integration but may require licensing fees.
CellProfiler: Python-based cell counting and analysis. ImageJ/Fiji: Thousands of plugins for every analysis. QuPath: Digital pathology specialist. Ilastik: Machine learning segmentation.
Automated Segmentation: CNNs identify cell boundaries. Phenotypic Profiling: ML classifies cellular states. Image Restoration: AI denoising improves quality. Super-Resolution: AI upscaling enhances detail.
Consider export capabilities: proprietary formats may lock you to vendor software, while open formats (TIFF, OME-TIFF, PNG) enable analysis in any tool. Some platforms offer automated cloud export.