Cell Counting Microscope UK: EVOS M7000 Analysis 2026

How automated microscopy eliminates manual counting and guesswork in cell culture

🎬 Watch: EVOS M7000 Analysis in Action

See automated confluence measurement and transfection efficiency analysis — 2 minutes

EVOS M7000

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The Problem: Manual Cell Culture Analysis

Cell culture labs spend hours every week on repetitive manual tasks:

  • Confluence estimation: Looking down the eyepiece, guessing when cells are 80% confluent for passaging
  • Transfection checks: Manually counting fluorescent cells to calculate transfection efficiency
  • Inconsistent results: Different researchers estimate confluence differently (±20% variation between people)
  • No documentation: No images saved to prove confluence was checked before passaging

The Solution: EVOS M7000 Automated Analysis

The EVOS M7000 imaging system with integrated Celleste™ software automates these tasks:

1. Automated Confluence Detection

  • Scan entire multi-well plate automatically (6, 12, 24, 96 wells)
  • Calculate exact confluence percentage for every well
  • Export results to Excel with timestamped images
  • Set alerts: notify when wells reach target confluence (e.g., 85%)

2. Transfection Efficiency Analysis

  • Count total cells (DAPI/Hoechst stain)
  • Count fluorescent cells (GFP/RFP expressing)
  • Calculate % transfection automatically
  • Compare multiple wells side-by-side
  • Export statistics with images for publications

Time Savings in Real Labs

TaskManual MethodEVOS M7000Time Saved
96-well confluence check45 min (eyepiece + notes)5 min automated scan40 min (89% faster)
Transfection efficiency30 min (manual count 3 fields)2 min automated28 min (93% faster)
Weekly reporting2 hours (compile images + data)10 min (auto-export CSV)1 hr 50 min (92% faster)

Key Specifications

  • Imaging: 4 fluorescence channels + brightfield + phase contrast
  • Objectives: 4x, 10x, 20x, 40x long working distance
  • Plate formats: 6, 12, 24, 48, 96, 384-well plates + slides + dishes
  • Software: Celleste™ analysis with confluence, counting, transfection modules
  • Output: JPEG, TIFF, PNG, CSV, Excel reports

💡 Pro Tip: Best Settings for Confluence Analysis

For most accurate confluence measurements on the EVOS M7000:

  • Use 10x objective for 96-well plates (covers ~80% of well area)
  • Use phase contrast instead of brightfield for better cell boundary detection
  • Set "Flat Field Correction" ON to eliminate well edge artifacts
  • Run background subtraction if medium has debris or precipitate

Applications in Cell Culture Labs

  • Routine passage timing: Set 80% confluence alerts, never miss optimal split timing
  • Drug screening: Compare confluence across dose-response plates automatically
  • Viral production: Monitor HEK293T confluence before transfection for max yield
  • CRISPR editing: Verify transfection efficiency before antibiotic selection
  • Stem cell culture: Document colony growth rates for protocol optimization

🎬 Watch the Full Video

See the EVOS M7000 analyze confluence and transfection in real time:

▶ Watch on YouTube
Read EVOS M5000 Review →

Recent Publications

Zbinden et al. (2020)

A confluence-based automated image analysis pipeline for high-throughput screening. PLoS ONE 15:e0229298. doi:10.1371/journal.pone.0229298

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Boutros et al. (2015)

Microscopy-based high-content screening. Cell 163:1312–1314. doi:10.1016/j.cell.2015.11.025

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Schneider et al. (2012)

NIH Image to ImageJ: 25 years of image analysis. Nature Methods 9:671–675. doi:10.1038/nmeth.2089

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Frequently Asked Questions

What is automated confluence analysis?

Automated confluence analysis uses image processing to measure the percentage of a culture surface covered by cells.

Can EVOS M7000 measure transfection efficiency?

Yes, by counting fluorescent cells versus total cells across multiple fields.

What markers are used for transfection imaging?

GFP and RFP reporters are common; nuclear dyes like DAPI or NucBlue help count total cells.

How accurate is EVOS confluence compared to manual?

Automated confluence is generally more reproducible than manual estimation and removes observer bias.

Can confluence and transfection be tracked over time?

Yes, EVOS M7000 time-lapse workflows capture both metrics across multiple time points.