CellVision Multi-functional Automatic Cell Scanner

CellVision Multi-functional Automatic Cell Scanner is an integrated live-cell imaging and analysis system designed specifically for organ-on-chip and organoid research applications. The system combines a high-resolution digital microscope with automated XYZ stage control, multi-channel fluorescence imaging, and AI-powered image analysis software in a compact benchtop format.

The scanner features precision objective lenses (10x/0.3 NA and 20x/0.45 NA standard), a high-sensitivity scientific CMOS camera, and LED-based fluorescence illumination with four standard channels (DAPI, FITC, TRITC, Cy5). The environmental control chamber maintains 37 C, 5% CO2, and >90% humidity for extended live-cell imaging experiments lasting hours to days.

The integrated AI analysis software provides automated cell detection, segmentation, viability quantification, confluence measurement, and morphological classification without requiring programming expertise. Results are exportable in multiple formats compatible with downstream data analysis pipelines and laboratory information management systems (LIMS).

The system is compatible with standard SBS-format multiwell plates (96/384-well), organ-on-chip devices, petri dishes, and chamber slides. The compact footprint (450 x 380 x 520 mm) requires minimal bench space while providing research-grade imaging capabilities previously available only on large, expensive confocal systems.

The CellVision Multi-functional Automatic Cell Scanner serves multiple functions in cell biology research:

1. **Automated Spheroid Analysis**: Detect, segment, and measure spheroid/organoid diameter, volume, and morphology across entire multiwell plates with sub-minute per-well acquisition times.

2. **Live-Cell Time-Lapse Imaging**: Monitor cell proliferation, migration, and drug response kinetics over extended periods with automated focus maintenance and stage positioning.

3. **Multi-Channel Fluorescence Imaging**: Capture DAPI, GFP, RFP, and Cy5 signals for multiplexed reporter assays, immunofluorescence, and FRET experiments.

4. **Viability Quantification**: Automated live/dead cell counting from Calcein-AM/EthD-1 or Hoechst/PI stained cultures with per-object classification.

5. **Confluence and Growth Curve Analysis**: Track cell growth over time with automated confluence measurements and doubling time calculations.

6. **Organ-on-Chip Imaging**: High-resolution imaging of microfluidic chip cultures with sufficient resolution to visualize individual cells within microchannels.

7. **High-Content Screening Data Generation**: Multi-parametric feature extraction from each imaged object for phenotypic profiling and hit identification in screening campaigns.

8. **AI-Assisted Morphological Classification**: Deep learning-based classification of organoid morphological subtypes for biobank characterization and quality control.

**CellVision Setup Protocol:**

**Step 1: System Initialization**
- Power on the scanner and launch the control software
- Allow 30 minutes for system stabilization and environmental chamber equilibration
- Verify CO2 supply (5%) and humidity levels (>90%)
- Perform daily calibration routine (automatic, ~5 minutes)

**Step 2: Sample Loading**
- Open the environmental chamber door
- Place sample plate/chip on the stage adapter
- Secure with magnetic clips or stage holder
- Close chamber door and allow 10 minutes for thermal equilibration

**Step 3: Imaging Protocol Setup**
- Select plate format (96-well, 384-well, or custom)
- Define well selection (all wells or specific subset)
- Choose imaging channels (brightfield, DAPI, FITC, TRITC, Cy5)
- Set objective (4x, 10x, or 20x) and focus strategy
- Define Z-stack parameters if 3D imaging is required
- For time-lapse: set interval (e.g., every 2 hours) and total duration

**Step 4: Automated Acquisition**
- Review scan area preview to verify well alignment
- Start automated scan sequence
- Monitor first few wells to verify image quality
- For overnight runs, enable email notification for completion or errors

**Step 5: Analysis and Export**
- Launch AI analysis module for automated cell/spheroid detection
- Review segmentation accuracy and adjust parameters if needed
- Export results to CSV/Excel for statistical analysis
- Export images in TIFF or PNG format for publication
- Generate growth curves and dose-response plots automatically