Empowering Scientific Discovery

Molecular Devices ImageXpress Nano Automated High-Content Imaging System

Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
Brand Molecular Devices
Origin USA
Manufacturer Type Original Equipment Manufacturer (OEM)
Origin Category Imported
Model ImageXpress Nano
Pricing Available upon request

Overview

The Molecular Devices ImageXpress Nano Automated High-Content Imaging System is a benchtop, fully automated fluorescence and brightfield microscope platform engineered for quantitative cellular phenotyping at microplate and slide scale. It employs widefield epifluorescence and transmitted-light imaging principles—optimized via high-quantum-efficiency sCMOS sensors, precision motorized stages, and solid-state LED illumination—to deliver reproducible, high-fidelity image acquisition across 6–384-well plates and standard glass slides. Designed for laboratories transitioning from manual microscopy to scalable, standardized cell-based assays, the system bridges the gap between research-grade imaging and operational robustness required in preclinical screening, toxicology, and functional genomics workflows. Its architecture supports label-free brightfield analysis (e.g., phase contrast-equivalent segmentation), multiplexed fluorescence detection (with user-selectable filter cubes and objectives), and optional environmental control (temperature, CO2, humidity) for live-cell kinetics.

Key Features

  • Integrated solid-state LED light engine with stable spectral output and >20,000-hour lifetime—minimizing phototoxicity and intensity drift during time-lapse experiments.
  • Motorized, high-precision XYZ stage with sub-micron repeatability for consistent multi-position acquisition across wells or slide regions.
  • Modular optical path supporting interchangeable objectives (1.25× to 60×), emission filter sets, and dual-channel simultaneous imaging capability.
  • CellReporterXpress™ software with embedded 25 pre-validated analysis modules—including brightfield object recognition (small round cells, large adherent cells, beads), nuclear/cytoplasmic segmentation, and intensity-based quantification of fluorescent reporters.
  • Touch-optimized interface compatible with Windows tablets and desktops; full remote operation via Chrome or Safari browsers without client-side installation.
  • CellMagnify™ technology enabling seamless zoom-from-plate to single-cell resolution with synchronized panning—supporting side-by-side comparative analysis of two wells or fields-of-view.
  • Region-of-interest (ROI) acquisition mode allowing targeted imaging of up to 999 unique locations per well or slide—ideal for heterogeneous samples or spatially resolved assays.

Sample Compatibility & Compliance

The ImageXpress Nano accommodates standard ANSI/SLAS-compliant microplates (6–384-well), chambered coverslips, and 1″ × 3″ glass slides. It supports fixed and live-cell assays—including immunofluorescence, GFP/RFP reporter systems, viability dyes (e.g., Calcein AM/Propidium Iodide), and label-free morphological profiling. Environmental control options meet ASTM E1973-22 requirements for CO2 regulation and ISO 15197:2013 humidity stability thresholds. Data integrity complies with FDA 21 CFR Part 11 through audit-trail-enabled user authentication, electronic signatures, and immutable acquisition metadata logging. The system is validated for GLP/GMP-aligned workflows and integrates with LIMS and ELN platforms via standard DICOM and TIFF export protocols.

Software & Data Management

CellReporterXpress™ provides a unified workflow environment—from acquisition protocol definition to pixel-level analysis and statistical reporting. All analysis pipelines are scriptable using Python-based APIs and support batch reprocessing across historical datasets. Distributed image analysis leverages local multicore processing and optional cloud-offload for accelerated throughput—enabling >100 plates/day in typical assay configurations. Raw images are stored in OME-TIFF format with embedded acquisition parameters (exposure time, gain, Z-stack intervals, objective ID). Export options include CSV (per-object measurements), PDF reports with QC metrics (focus score, signal-to-noise ratio), and interactive HTML viewers for collaborative review. Audit trails record operator actions, parameter changes, and software version history—fully traceable for regulatory submissions.

Applications

  • High-content cytotoxicity screening (e.g., mitochondrial membrane potential loss, lysosomal permeabilization, caspase activation).
  • Neurite outgrowth and synapse quantification in iPSC-derived neuronal models.
  • Cell cycle profiling via DNA content and phospho-histone H3 co-staining.
  • Organoid size, morphology, and lumen formation analysis in 3D culture systems.
  • CRISPR screen hit validation using multiplexed marker expression and subcellular localization metrics.
  • Label-free confluence monitoring and wound-healing assay kinetics under controlled environmental conditions.

FAQ

Does the ImageXpress Nano support Z-stack acquisition and deconvolution?
Yes—it acquires Z-series with programmable step size (0.1–20 µm) and integrates GPU-accelerated widefield deconvolution using constrained iterative algorithms.
Can I import custom analysis algorithms developed in MATLAB or Python?
Yes—CellReporterXpress supports third-party plugin integration via its open API framework and allows execution of external scripts as analysis modules.
Is environmental control available as a field-upgradeable option?
Yes—CO2/humidity/temperature modules can be installed post-purchase with factory calibration and IQ/OQ documentation.
What file formats are supported for data export and long-term archiving?
OME-TIFF (primary), TIFF, PNG, CSV, PDF, and JSON metadata files—all compliant with NIH BioImage Archive submission standards.
How does the system ensure focus stability across multi-day time-lapse experiments?
It uses real-time hardware autofocus based on contrast gradient maximization at each Z-plane, recalibrated before every field acquisition and logged in audit trail records.

InstrumentHive
Logo
Compare items
  • Total (0)
Compare
0