Automated Cell Counting: Eliminating Stain-Free Viability Bottlenecks with the METTLER TOLEDO CytoDirect

CytoDirect provides stain-free cell assessments in 15 seconds by using digital holographic microscopy and machine learning to streamline quality control

Written bySharon Dong
| 2 min read
Mettler Toledo's CytoDirect, an automated stain-free cell counter
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The METTLER TOLEDO CytoDirect Cell Counter offers automated cell counting and stain-free viability checks for demanding life sciences workflows. The portable system integrates digital holographic microscopy with machine learning to assess cell size, distribution, and health in 15 seconds. Eliminating traditional cytotoxic stains enables rapid, reproducible sample analysis across academic and biopharma research environments. Anders Lindh, General Manager of the Analytical Instruments Global Business Area at METTLER TOLEDO, explained: “The CytoDirect Cell Counter is a breakthrough in cell viability analysis. " 

Editor's Note: The lab equipment market is rapidly shifting toward automated quality control as vendors develop smarter solutions for life science teams. This METTLER TOLEDO announcement highlights the industry's move away from manual, dye-based sample preparation. For lab managers, adopting digital, stain-free technology directly impacts workflow efficiency, consumable costs, and data reproducibility.

Stain-free viability checks

The METTLER TOLEDO CytoDirect determines cell viability without dyes by using a convolutional neural network to analyze morphological differences between living and dead cells. Traditional workflows rely on cytotoxic biochemical stains like Trypan Blue to probe cellular membrane intactness. Extended incubation can artificially inflate dead cell counts. Measuring viability directly through physical characteristics eliminates these handling steps and preserves sample integrity.

How does digital holographic microscopy improve cell counting?

Digital holographic microscopy captures high-resolution, three-dimensional phase images of biological samples, avoiding the mechanical and depth-of-field constraints of conventional lenses. The CytoDirect scans a 31.2-square-millimeter area—roughly 30 times larger than a standard hemocytometer (a specialized slide for manual counting). This expansive field maximizes statistical significance while integrated machine learning rapidly differentiates intact cells from debris.

Eliminating manual analysis for modern workflows

Automating routine viability checks reduces human error and accelerates quality control prior to sensitive downstream applications like flow cytometry. Manual cell counting is a labor-intensive process that researchers struggle to maintain accurately at high volumes, often leading to undetected declines in cell health. Implementing an automated system standardizes data collection and provides an objective benchmark for facility-wide cellular performance.

The CytoDirect’s compact footprint allows managers to deploy it directly under a laminar flow hood, reducing contamination risks by limiting sample movement. Its integrated battery and Wi-Fi connectivity also support flexible deployment across different bioprocessing suites. CytoDirect integrates machine learning algorithms for automatic debris filtering.

Table: Comparison of cell viability assessment methods

Feature

Manual hemocytometer

METTLER TOLEDO CytoDirect

Analysis method

Visual counting via standard microscope

Digital holographic microscopy

Viability reagent

Trypan Blue or similar toxic stains

Stain-free neural network analysis

Measurement area

~1 square millimeter

31.2 square millimeters

Processing time

3 to 5 minutes per sample

15 seconds per sample

Operator variability

High

Low

Streamlining laboratory cell counting

Reproducible cell counting and robust viability checks are foundational requirements for biological research facilities. By combining digital holographic microscopy with machine learning, the METTLER TOLEDO CytoDirect removes the inter-operator variability and cellular toxicity of traditional staining. This ongoing digitization of routine quality control enables lab managers to reduce bottlenecks, lower costs, and generate confident analytical data in a fraction of the time.

This content includes text that has been generated with the assistance of AI. For more information, view Lab Manager's AI use policy.

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About the Author

  • asian woman in a malaysian-chinese batik shirt with glasses, smiling

    Sharon Dong, MSc, BSc (Hons), joined LabX Media Group (LMG) in 2026 as a Product News & Intelligence Editor. She has a strong background in cellular biology, microbiology, immunology, and molecular genetics. She is an experienced science education and outreach facilitator. Sharon is passionate about communicating science in ways that are clear, engaging, and accessible to a broad audience. In her free time, she enjoys solving jigsaw puzzles and cooking. Sharon can be reached at sdong@labx.com.

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