Microclonial Counting System for Pseudomonas aeruginosa Detection

The pollution problem of Pseudomonas aeruginosa has always been a focus of industry attention in areas such as drinking water production, cosmetics manufacturing, and pharmaceuticals. As a conditional pathogen, exceeding the standard not only threatens consumer health, but may also lead to product recalls and administrative penalties for enterprises. In recent years, with the update of international testing standards (such as ISO 16266) and the strengthening of domestic supervision, traditional testing methods have become difficult to meet the needs of efficient and accurate testing. In this context,MICA Microclonial Counting System for Pseudomonas aeruginosa DetectionWith its innovative technological advantages, it has demonstrated great potential in detecting harmful microorganisms in water.

The traditional detection methods for Pseudomonas aeruginosa usually rely on cultivation methods, which not only take a long time but also require professional personnel to operate, and are easily influenced by external factors. Taking ISO 16266 as an example, it is usually necessary to conduct a confirmation experiment for up to 5 days after culturing microorganisms for 48 hours, and if the number of colonies increases, manual counting may result in errors. This means that traditional methods have a lag in detecting Pseudomonas aeruginosa, and once problems are detected, the best intervention opportunity may be missed.

MICA technology is a microbial detection system based on optical and electromechanical systems, microbial labeling, and machine learning. It can accurately identify and count microbial colonies in a short period of time, greatly improving the efficiency and accuracy of detection. Specifically, MICA technology has the following advantages in detecting Pseudomonas aeruginosa:

(1) Rapid detection: MICA technology can complete the detection of Pseudomonas aeruginosa within 24 hours, no longer relying on long-term cultivation processes. By using fluorescent labeling methods, MICA can identify and count microcolonies during their formation stage, significantly reducing detection time.

(2) High resolution image reconstruction: MICA combines high-definition optical scanning counting with * image reconstruction algorithms to accurately identify fluorescence signals. The MICA imaging system divides a filter membrane into 70 areas and captures high-definition (12Mpx) photos. And use the algorithm of * to reconstruct images of 70 photos, obtaining images with rich details at the microscopic scale, which can recognize micro colonies as small as 10 µ m.

(3) Machine learning and AI image processing: After image reconstruction is completed, MICA performs the next step of image analysis and counting. According to the type of microorganism to be tested, the software calls specialized AI for image recognition. Software AI trains machine learning models based on shape, brightness, and micro colony characteristics to eliminate interfering substances from images, accurately identify target micro colonies, and eliminate errors in manual operations. The counting results are directly expressed as CFU of the target microorganism without the need for confirmatory experiments.

(4) High sensitivity: The detection limit of MICA is as low as 1 CFU/filter membrane, meeting the strict requirements of GB 19298-2014 and other standards for "not detectable". MICA, with its technological innovation and practicality, is changing the detection mode of Pseudomonas aeruginosa. For enterprises pursuing efficient production and compliant operations, deploying MICA is not only a technological upgrade, but also a core guarantee for market competitiveness.

MICA Microclonial Counting System for Pseudomonas aeruginosa DetectionFeatures:

The cultivation time is as low as 24 hours, while traditional methods require 2-7 days

The analysis process is the same as ISO 16266 and other method standards

No need for confirmation experiments

Non destructive testing methods

Detection limit as low as 1 CFU/filter membrane

Technical parameters:

Power supply: external 90-264VAC/24VDC, 50-60Hz

Size: 494 x 447 x 384 mm (MICA Advance)

Net weight: 19 Kg (MICA Advance)

Connection: 2 * USB 3.0; 2*USB 2.0； 1 * Ethernet port; 1 * HDMI port (MICA Advance)