Automatic Colony Growth Monitoring System

Automatic Colony Growth Monitoring System
Details:
Cell morphology is the basis of colony morphology, and colony morphology is the reflection of cell morphology when cells aggregate in groups. Colony morphology includes the size, shape, edge, luster, texture, color, and transparency of the colony, etc. Each type of bacterium forms fixed colony characteristics under certain conditions.
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Description
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product-900-257

 

Cell morphology is the basis of colony morphology, and colony morphology is the reflection of cell morphology when cells aggregate in groups. Colony morphology includes the size, shape, edge, luster, texture, color, and transparency of the colony, etc. Each type of bacterium forms fixed colony characteristics under certain conditions. The colony characteristics of different species or the same species under different culturing conditions are different. These characteristics are of certain significance for the identification and authentication of bacterial strains.

The Automatic Colony Growth Monitoring System can monitor the morphological changes of microbial colonies at different time points, and calculate and draw the colony growth curve based on algorithms according to the morphology. This product can monitor the growth changes of up to 61440 colonies simultaneously.

 

Core Functions

 

Morphological Change Monitoring

The Automatic Colony Growth Monitoring System can monitor the morphological changes of microbial colonies at different time points. Based on this function, the system can process the morphological data of colonies according to advanced algorithms, and then calculate and draw the colony growth curve. This function provides crucial dynamic data support for microbial research.

 

High - throughput Monitoring Capability

This system has the feature of ultra - high - throughput. A single machine can monitor the growth status of up to 61,440 colonies simultaneously. This large - scale monitoring capability greatly meets the requirements of high - throughput experiments, enabling researchers to obtain a large amount of colony growth information at one time and providing a rich data basis for in - depth research on the behavior and characteristics of microbial populations.

 

product-767-181

 

 

Application Field

 

Library construction;

Research on genetic characteristics;

Screening of engineered bacteria;

Screening of culture media;

Detection of the effectiveness of preservatives;

Drug screening;

Analysis of growth kinetic curves;

Detection of pathogenic bacteria;

Determination of food safety microorganisms;

Research and development of antibacterial agents.

 

Product features

Ultra - high throughput: Automatic Colony Growth Monitoring System enables a single machine to simultaneously monitor the growth status of up to 61,440 colonies.

Ultra - powerful algorithm: Automatic Colony Growth Monitoring System can calculate and plot the colony growth curve based on the colonies' morphological changes.

Time - saving: High - throughput processing of Automatic Colony Growth Monitoring System effectively reduces the R & D cycle.

Labor - saving: With all operations completed automatically and no human intervention needed, a large amount of labor operation costs can be saved.

product-436-224

 

Technical Parameters

 

Model

GMS 10

Maximum number of monitored culture plates

40

Maximum number of monitored colonies

61,440

Maximum optical resolution

9,600 dpi

Photoelectric element

6-line alternating microlens CCD

Light source

White cold cathode fluorescent lamp

Temperature control range

0 - 45°C

Temperature control accuracy

Temperature control accuracy is ±1.0°C

Capacity

600L

Cabinet material

Stainless steel material (SUS304)

Function

Conduct timed detections and generate growth curves

 

Application Case

 

Research on genetic interaction of essential genes.

 

Our project:

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product-239-175

 

The incP family plasmid RP4, which has a broad host range, can transfer large DNA fragments through interspecies conjugation

 

The concept of synthetic lethality/disease analysis: The red circles represent the essential metabolites of the cell. If the cell has redundant pathways to produce the necessary metabolites, the double deletion method can identify these redundant genetic steps (enzymes). (B) The coupling method of combining single-knockout strains to generate double-knockout strains.

product-229-259

product-210-143

 

The X-axis represents the sampling time points, and the Y-axis represents the population ratio of all deletion strains.

Database construction

product-922-638
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Genetic interaction network

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