Automating egg quality control for sustainable aquaculture

From aquaculture research facilities to hatcheries, our technology automates egg quality control with speed and accuracy—screening and sorting fish eggs to ensure consistent seeding of tanks, optimized feed management, and higher survival rates. By reducing variability and operational costs, it delivers reliable, scalable results for sustainable aquaculture.

Egg quality control made fast, standardized, and scalable

Our lab-proven technology can be applied to aquaculture for the screening and sorting of fish eggs at scale to reduce waste, boost yield, and improve consistency.

Bigger Samples for better insights

Process larger batches of eggs for quality control in less time, enabling data-driven decisions and improving reliability across hatchery operations.

Improve hatch rates and quality

Remove dead, unfertilized, or malformed eggs before incubation. Better inputs lead to healthier fry, stronger survival, and more consistent results.

Reduce manual labor and variability

Automate one of the most time-consuming steps in aquaculture—ensuring uniformity and freeing your team to focus on operations, not egg sorting.

Adapt lab-proven sorting to hatchery-scale production

Our core technology, screens, classifies, and separates fish eggs automatically—delivering hatchery-ready performance with laboratory precision.

Capture every egg

A rotary wheel isolates and presents each egg for individual imaging, ensuring no batch goes unchecked, even at high volume and speed.

Classify with AI

Advanced algorithms evaluate fertilization, shape, and opacity to distinguish viable eggs from dead or malformed ones—boosting overall yield.

Plate or incubate directly

After sorting, viable eggs are dispensed into your preferred container or transferred to the next stage. No extra handling required.

Train your sorter to match your hatchery’s needs

LabSwipe lets you fine-tune the system’s AI using real data from your own species, batches, or grading criteria—no coding needed. Customize sorting logic for each fish species, from sea bream to bluefin tuna.

Customize by species or batch

Label and classify images to train AI models for specific fish species or egg characteristics, so your sorter adapts to biological variation across cycles.

Refine sorting accuracy over time

Use LabSwipe to improve classification precision with each batch, adjusting for subtle differences in morphology, color, or opacity

Deploy updates instantly

Upload your training model to the sorter with a few taps. No delays, no IT team required. Your new logic goes live in minutes.

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Read our FAQs

Which species can we work with?

The system works with fish species that have eggs ranging from 500 µm to 2 mm in size, including:

  • European seabass (Dicentrarchus labrax)
  • Gilthead seabream (Sparus aurata)
  • Grey mullet (Mugil cephalus)
  • Meagre (Argyrosomus regius)
  • Atlantic bluefin tuna (Thunnus thynnus)

The device works with entities sized 500 µm to 2 mm. To ensure consistent sorting, the batch should have a homogeneity of ±100 µm.

Processes up to 1 entity every 0.5 seconds (depending on mode, up to 5 sec/entity).


On average:

  • 50 embryos in a Petri dish → 2–3 minutes
  • 96-well plate → 3–5 minutes

Brightfield imaging (transmitted and reflected light)

  • Fluorescence screening with up to 6 filter cubes, including:
  • BFP, GFP, YFP, tdTomato, mCherry A, mCherry C


(Full specifications available upon request.)

The minimum dispensing dose is 50 µL per sample, with a precision of ±10%.

The EggSorter is flexible and can dispense into:

  • Falcon tubes (up to 2)
  • Multiwell plates (6x to 96x wells, up to 4 plates)
  • Petri dishes (up to 4 × 10 cm)

No. Studies show that embryos remain healthy after processing with the EggSorter:

(Aquaculture species data available upon request.)

It can be cleaned with 70% ethanol or 5–10% bleach, ensuring safe and easy maintenance.

  • 50 × 50 × 30 cm (L × W × H)
  • Weight: ~18 kg