Advancing Microbial Research in Space Stations

Collect, analyze, and predict microbial community trends in extraterrestrial environments.

Innovative Solutions for Microbial Data Analysis

We specialize in data collection, preprocessing, and advanced deep learning models for microbial community analysis in space station environments, ensuring precise predictions and anomaly detection.

Clusters of variously shaped and colored microbial colonies appear on a dark surface. The textures are varied, with some colonies smooth and others more granular. The colors range from bright green to light yellow and brown, creating a contrast against the dark background.
Clusters of variously shaped and colored microbial colonies appear on a dark surface. The textures are varied, with some colonies smooth and others more granular. The colors range from bright green to light yellow and brown, creating a contrast against the dark background.
Various colorful colonies, including small red and green dots and larger clusters, are scattered across a dark surface in a pattern typical of microbial growth. The image has a detailed focus on the intricate arrangement and subtle textures of the colonies.
Various colorful colonies, including small red and green dots and larger clusters, are scattered across a dark surface in a pattern typical of microbial growth. The image has a detailed focus on the intricate arrangement and subtle textures of the colonies.

Model Development

Creating classification and anomaly detection models based on deep learning for microbial community analysis.

A petri dish containing various colonies of bacteria and fungi, showcasing diverse shapes, sizes, and colors. The colonies are growing on a nutrient agar medium with a grid pattern beneath them. Some colonies are circular and smooth, while others have fringed or filamentous edges. The dish is viewed from above, displaying a layer of translucent medium and different colony morphologies.
A petri dish containing various colonies of bacteria and fungi, showcasing diverse shapes, sizes, and colors. The colonies are growing on a nutrient agar medium with a grid pattern beneath them. Some colonies are circular and smooth, while others have fringed or filamentous edges. The dish is viewed from above, displaying a layer of translucent medium and different colony morphologies.

Model Development

Classification and anomaly detection for microbial community analysis.

Colonies of microorganisms are scattered across a petri dish. The colonies vary in size but are mostly small and round. They create a dense clustering toward the center with more scattered formations around the edges.
Colonies of microorganisms are scattered across a petri dish. The colonies vary in size but are mostly small and round. They create a dense clustering toward the center with more scattered formations around the edges.

Predictive Models

Evaluating evolutionary trends of microbial communities in space.

gray computer monitor

DevelopanAI-basedmicrobialcommunitymonitoringsystemtoachievereal-time

monitoring,classification,andpredictionofspacestationmicrobialcommunities.

Improvethecomputabilityandanalyzabilityofmicrobialcommunitydatathroughfeature

extractionandquantificationmethods.

Enhancethemonitoringefficiencyandaccuracyofmicrobialcommunitiesthrough

classificationandanomalydetectionmodels.

Evaluatetheevolutionarytrendsofmicrobialcommunitiesandtheirimpactonthespace

stationenvironmentthroughpredictivemodels.

Providetechnicalsupportforspacestationmicrobialcommunitymonitoring,promoting

theimprovementofrelatedpoliciesandmeasures.

Research

Innovative solutions for microbial community analysis.

© 2025. All rights reserved.