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Microbiology

Addressing the research challenge of uncultured microorganisms through a multidimensional and multiscale research platform.

 

The exploration and application of microorganisms holds significant importance for industrial advancement and daily living. According to statistics, less than 1% of microorganisms can be cultured in laboratories, while over 99% are referred to as "microbial dark matter" due to their failure to be cultured outside their natural enviroments. 


Although these microorganisms play vital roles in ecosystems, their functional mechanisms remain challenging to study due to the unavailability of pure strains. This limitation significantly obstructs the exploration and utilization of microbial resources. While metagenomics is capable of unveiling the diversity and complexity of microbial communities, it is limited in its ability to define or validate the roles of individual members within these complex ecosystems. In contrast, the integration of phenotype detection with single-cell technologies enabled the characterization of microorganisms within their native microbial communities. This method provides a promising approach for studying uncultured microorganisms.

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    Uncultured Microorganisms
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    Single Cell
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    In-situ

Single-cell Microbial Research

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Conventional microbial screening methods for isolating target microbial strains from environmental samples are labor-intensive, costly, and time-consuming, yet often yield unsatisfactory results. 


In contrast, by using of microbial visualization, detection and sorting systems, target strains can be accurately identified at single-cell level and precisely, non-destructively isolated from complex microbial communities. For target strains with known culture conditions, they can be directly cultured post-sorting, with the system demonstrating an impressing 95% success rate in culturing E. coli, Bacillus, and Saccharomyces cerevisiae. For target strains with unknown culture conditions, single-cell sequencing can be carried out post-sorting, followed by the use of reverse genomics to determine optimal culture conditions, ultimately enabling the successful isolation and acquisition of the target strain.

In situ Colony "de-replication" Screening

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The system innovatively integrates colony localization through macro imaging, AI-driven micro-image feature extraction, Raman spectra "molecular fingerprinting" intelligent analysis, and an automated colony-picking workstation to enables in situ "de-replication" of colonies directly on culture dishes. This approach achieves a remarkable 90% "de-replication" efficiency , successfully resolving the challenge of repeated selection of dominant strains often encountered with conventional methods.

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