Frequently Asked Questions

Organoid sorting is the process of identifying, selecting, and transferring organoids based on predefined characteristics such as size, shape, morphology, or other biological features.

In many laboratories, organoid sorting is still performed manually under a microscope. Researchers visually inspect organoids and transfer selected tissues one by one using a pipette. This approach can be time-consuming, difficult to scale, and prone to operator-to-operator variability.

Automated organoid sorting replaces manual selection with standardized, image-based decision making. The Orgadroid uses real-time imaging and artificial intelligence to characterize organoids, apply user-defined selection criteria, and automatically transfer selected organoids into target labware.

Organoid sorting is commonly used in drug discovery, disease modeling, precision oncology, stem cell research, and high-throughput screening workflows where reproducibility, throughput, and traceability are critical.

By automating organoid selection and transfer, organoid sorting helps laboratories reduce variability, increase throughput, and generate more consistent experimental results.

The Orgadroid is an automation platform purpose-built for 3D biology. It automates the localization, selection, quality control, and transfer of organoids and other complex tissues using brightfield imaging, AI-powered morphology analysis, and Visienco's patented transfer technology.

By replacing manual handling with standardized, traceable workflows, the Orgadroid enables researchers to generate more reproducible data and scale organoid-based research and development.

Yes. The Orgadroid is fully model-agnostic and supports all major classes of 3D cell cultures. It works with organoids, spheroids, tumoroids, islets of Langerhans, assembloids, and cell colonies across a size range of 50 µm to 4 mm. Because the system uses image-based selection and a unique patented pipette tip designed to preserve tissue integrity regardless of shape or size, users are not locked into a single model type or a narrow size range.

The Orgadroid is compatible with a wide variety of organoid and spheroid models. Examples include retinal organoids, brain organoids, intestinal organoids, liver organoids, pancreatic organoids, tumoroids, stem cell-derived spheroids, and islets of Langerhans.

The platform can process organoids ranging from approximately 50 µm to 4 mm in diameter. Compatibility with specific tissue models can be assessed through a demonstration using customer samples.

The Orgadroid performs three steps in a fully automated loop:

1. Localization — the system scans the culture plate using brightfield imaging and detects each 3D structure using deep learning.
2. Morphological selection — AI algorithms extract morphological features and classify each organoid as suitable or unsuitable based on user-defined thresholds.
3. Pick-and-place — selected organoids are aspirated with the patented tip and transferred to the target well or plate. Unsuitable organoids are skipped.

The result is a sorted, documented organoid population in a single automated run.

The Orgadroid combines real-time brightfield imaging with artificial intelligence (AI) and deep learning models to analyze organoid morphology during sorting. The system extracts quantitative features such as organoid size, circularity, convexity, and additional morphological characteristics.

Users can define their own organoid selection criteria directly through the software interface. The Orgadroid then automatically applies these criteria to every organoid processed during a run.

All images, measurements, and selection decisions are recorded and included in automated batch reports, providing full traceability and quality control.

The Orgadroid improves reproducibility by replacing manual organoid selection with standardized, AI-driven selection criteria.

Manual organoid picking is often subjective and varies between operators. The Orgadroid applies the same quantitative morphological thresholds to every organoid in a run, regardless of the user, laboratory, or date of the experiment.

This reduces operator-to-operator variability, improves experimental consistency, and supports reproducible organoid workflows for drug discovery, disease modeling, and translational research.

The Orgadroid generates automated reports for every sorting run.

Reports include organoid images, morphological measurements, selection criteria, transfer outcomes, and destination well locations. Each organoid receives a unique identifier, allowing users to track exactly which organoid was transferred into each well.

These reporting capabilities support quality control, regulatory documentation, and reproducible research workflows.

Real-time monitoring during operation allows users to follow the sorting process as it happens.

The throughput of the Orgadroid depends on organoid size, morphology, source vessel format, target labware, and user-defined selection criteria.

For typical organoid sorting workflows, the system can process hundreds to thousands of organoids per day while maintaining image-based characterization and traceability.

Please contact Visienco for application-specific throughput estimates.

The Orgadroid was purpose-built to gently handle fragile 3D biological tissues while preserving viability and morphology throughout the sorting process.

At the core of the system is Visienco's patented pipette tip technology, specifically designed to minimize mechanical stress during aspiration and dispensing. The Orgadroid can handle organoids and other 3D tissues ranging from approximately 50 µm to 4 mm in diameter while maintaining high transfer precision.

Yes. One of the Orgadroid's key differentiators is its compact footprint (51 × 71 × 41 cm), allowing it to operate directly inside most standard laminar flow hoods.

The system was designed to meet the sterility requirements of pharmaceutical and advanced research laboratories. It uses sterile disposable pipette tips, while all sample-contacting components are easily removable, autoclavable and designed for straightforward cleaning between experiments.

By enabling the entire characterization and sorting workflow to be performed under sterile conditions, the Orgadroid helps minimize contamination risks while preserving sample viability and supporting standardized, reproducible workflows.

Yes. The Orgadroid is designed to integrate into automated laboratory workflows.

The system provides an API for communication with external software and laboratory automation platforms. It can be integrated with robotic arms and liquid handling systems depending on workflow requirements.

Its compact footprint (51 × 71 × 41 cm; 18 kg) allows installation inside most biosafety cabinets and on standard laboratory benches. The Orgadroid is compatible with standard microplates commonly used in organoid culture and screening workflows.

The Orgadroid supports standard well plate formats commonly used in organoid culture and screening workflows.

Users select the labware type directly through the software interface. Additional labware formats can be added to the Orgadroid's internal library when required.

For custom labware requirements, please contact Visienco at info@visienco.ch.

Yes. The Orgadroid is designed as a plug-and-play organoid sorting platform.

Users select the desired labware, the number of tissues per well, and the organoid selection criteria directly through an intuitive graphical user interface. No programming, automation, or robotics expertise is required.

The compact footprint and standard connectivity requirements allow installation in most laboratories without facility modifications.

Upon installation, a Visienco specialist performs system setup, user training, and operational validation to ensure the Orgadroid is functioning as expected.

The Orgadroid is used for organoid handling, organoid sorting, organoid selection, and organoid standardization across a broad range of research and industrial applications, including:

• Drug discovery and high-throughput screening
• Patient-derived organoid and tumoroid workflows
• Precision oncology research
• Retinal organoid research
• Brain organoid and neurodevelopmental research
• Gastrointestinal organoid research
• Liver organoid research
• Pancreatic islet and diabetes research
• Stem cell-derived 3D tissue workflows
• Disease modeling and translational research

The Orgadroid is designed for any application requiring reproducible selection, characterization, and transfer of 3D biological structures.

The Visienco Orgadroid is purpose-built for model-agnostic organoid workflows. Unlike systems designed for a single organoid type or a narrow size range, the Orgadroid handles organoids, spheroids, tumoroids, islets, assembloids, and colonies from 50 µm to 4 mm — all within a single platform. The AI-based morphology selection is fully customizable, so labs working with multiple 3D model types can define their own selection criteria without changing hardware.

The Orgadroid is used by academic research institutes, pharmaceutical companies, biotechnology companies, contract research organizations (CROs), and translational research centers working with organoids and other 3D cell models.

Visienco AG is a Swiss biotechnology company headquartered at Technopark Luzern in Root D4, Switzerland.

The company was founded by Edwige Guinet (CEO) and Jonas Goldowsky (CTO) and originated from CSEM (Swiss Center for Electronics and Microtechnology), one of Switzerland's leading applied research institutes. The Orgadroid technology was developed in collaboration with leading organoid researchers from academia, biotech, and pharmaceutical companies in Switzerland.

You can request a demonstration directly through the Visienco website or by contacting the team at info@visienco.ch.

Visienco works closely with prospective customers to evaluate the fit of the Orgadroid for their specific workflow. Whenever possible, demonstrations are performed using customer tissues and organoid models to validate performance under real experimental conditions before purchase.