RAcolony
High-Throughput Intelligent Colony Screening System
This system integrates in situ multi-phenotype colony detection with automated clone picking. It innovatively combines colony morphological information with Raman spectroscopy data, and by leveraging AI recognition technology and multidimensional data analysis algorithms, it achieves efficient dereplication. target strains are automatically transferred to multi-well plates for culture expansion using a sterile picking needle, thus reducing the time and labor costs of large-scale sequencing for microbiota identification. This significantly improves microbial screening efficiency. The system provides a novel technical approach for establishing microbial resource libraries, screening engineered strains, and other related applications.
Brochures
Advantages
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Large-Field Imaging for ColoniesThe system utilizes a rotational segmentation algorithm to adaptively identify various colony morphologies, free from interference caused by overlaps, with a counting accuracy exceeding 95%.
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Micro Image Acquisition for ColonyThe system is capable of capturing micro images of individual colonies, including features that are visully detectale (such as color, size, and shape) as well as those difficult to detect visually (such as transparency, smoothness, texture, and edge shapes). All image data is automatically stored, and the database is traceable, facilitating comprehensive de-replication analysis across multiple plates.
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AI Micro Image AnalysisAn AI algorithm is employed to analyze over 20 morphological features of the colonies to facilitate efficient de-replication analysis. Compared to the conventional manual colony-picking method, this approach achieves significantly higher species recovery with the same number of picks.
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Comprehensive Analysis of Raman Fingerprint of ColoniesThe Raman ‘molecular fingerprint’ of microbial colonies is acquired through the application of laser-assisted rapid focusing, adaptive spectral acquisition, and deep learning algorithms. This molecular fingerprint serves as the foundation for achieving more precise dereplication of microbial species, thereby significantly improving the accuracy and efficiency of microbial screening processes.
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Automatic Workflow,User-FriendlyThe system features intelligent data acquisition and analysis, enabling the user to obtain phenotypic information and “dereplication" results of target strains with one-click. Equipped with a single-channel/eight-channel automated colony picking needles, the system can automatically read the identification numbers and correlated positions of the targeted colonies after de-replication analysis, and sequentially pick and transfer the target colonies into 96-well plates for culture expansion.
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Modular DesignRAcolony can be installed in biosafety cabinets or anaerobic chambers, effectively preventing cross-contamination and ensuring a sterile microenvironment for colony picking and cultivation.
Workflow
RAcolony innovatively combines large-field colony macro-imaging, AI feature extraction from micro-images, in-depth Raman "molecular fingerprint" analysis, and an automated colony picking workstation, enabling in situ de-replication of colonies on culture plates. It overcomes the challenge of repeatedly selecting dominant strains in conventional methods.
Applications
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MicrobiologyAddressing the research challenge of uncultured microorganisms through a multidimensional and multiscale research platform.
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Microecological MedicinesEfficient colony de-replication screening and rapid identification of functional bacteria accelerate advancements in microecological medicine.
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Fermentation Broth TestingThe integration of AI morphology analysis and Raman spectroscopy technology drives innovation in fermentation broth detection techniques.
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Microbiology
Addressing the research challenge of uncultured microorganisms through a multidimensional and multiscale research platform.
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Microecological Medicines
Efficient colony de-replication screening and rapid identification of functional bacteria accelerate advancements in microecological medicine.
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Fermentation Broth Testing
The integration of AI morphology analysis and Raman spectroscopy technology drives innovation in fermentation broth detection techniques.
Equipment Configuration
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Colony Size
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Plate Size
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Colony Counting
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Single Colony Microscopic Imaging
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AI Image Deduplication Analysis
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Raman
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Spectral Resolution
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Spectral Range
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Raman Spectrum Deduplication Analysis
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Picking Throughput
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Accessories
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0.3-20 mm
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90 mm Petri Dish
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Full plate image capture, adaptive recognition of different colony morphologies
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5 min/100 colonies
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over 20 colony morphological features
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Excitation Wavelength: 785 nm
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<5 cm -1
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400-2000 cm-1
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Spectral clustering analysis algorithm
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Single channel: 300 colonies/h; Eight channels: 1000 colonies/h
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Biological Safety Cabinets、Anaerobic Chamber
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