Optimal control model of biofilm formation process

Transforming data into actionable insights for microbial community dynamics and biofilm control strategies.

A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.

Innovative Research Solutions

We specialize in advanced research design, integrating data and developing models to enhance understanding of microbial dynamics.

A collection of blue-green, rod-shaped bacteria appears to be floating against a black background. The bacteria have a textured surface that gives them a unique, almost fuzzy appearance.
A collection of blue-green, rod-shaped bacteria appears to be floating against a black background. The bacteria have a textured surface that gives them a unique, almost fuzzy appearance.
A laboratory machine with a protective transparent cover is positioned on a counter. Next to it, a monitor is attached, and various cables are connected. The setting appears to be sterile, with a focus on technology and instrumentation.
A laboratory machine with a protective transparent cover is positioned on a counter. Next to it, a monitor is attached, and various cables are connected. The setting appears to be sterile, with a focus on technology and instrumentation.

Biofilm Research Services

Specialized phases in biofilm study including data collection, modeling, reinforcement learning, and experimental validation.

Data Collection Phase

Gather biofilm data from research and literature to create integrated multimodal datasets and insights.

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

Design hybrid architectures using graph neural networks and convolutional networks to analyze microbial dynamics.

Test control strategies through experimental validation to optimize biofilm management and community dynamics.

Experimental Validation
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.
A close-up of a petri dish containing bacterial colonies and a white antimicrobial disk with 'OP' printed on it. The colonies appear as tiny circular formations on the agar surface, and the dish has a reddish-brown tint in the background.
A close-up of a petri dish containing bacterial colonies and a white antimicrobial disk with 'OP' printed on it. The colonies appear as tiny circular formations on the agar surface, and the dish has a reddish-brown tint in the background.

Research Design

Integrating data collection, modeling, and validation phases for innovation.

A laboratory setting featuring advanced equipment, including a white Rephile machine with digital controls and various attachments. In the background, there are large lab cabinets and ventilation hoods, with a bright, well-lit environment.
A laboratory setting featuring advanced equipment, including a white Rephile machine with digital controls and various attachments. In the background, there are large lab cabinets and ventilation hoods, with a bright, well-lit environment.
Phase Overview

Our approach includes data integration, model creation, reinforcement learning, and experimental validation to advance understanding of biofilm dynamics and control strategies in microbial ecosystems.

Circular colonies of various sizes in shades of yellow, green, and red are scattered across a beige surface. The colonies have diverse textures, with some appearing smooth while others are wrinkled or segmented. A circular, plate-like structure frames the image.
Circular colonies of various sizes in shades of yellow, green, and red are scattered across a beige surface. The colonies have diverse textures, with some appearing smooth while others are wrinkled or segmented. A circular, plate-like structure frames the image.
Model Strategies

We develop hybrid architectures using neural networks to explore control strategies effectively, aiming to optimize outcomes in microbial community dynamics and biofilm structure evolution through innovative computational techniques.