Fully-Automatic fluorescence microscopic images scanning and analysis system

Product Name

The fully automatic fluorescence microscopic image scanning and analysis system is an integrated high-precision biological detection device that utilizes fluorescence microscopic imaging technology and intelligent image analysis algorithms to achieve fully automatic scanning, image acquisition, and AI analysis of samples.

Detection Principle

The system is equipped with a high-precision fluorescence microscopic optical module. It uses a specific wavelength excitation light source to stimulate the biological samples that have been stained with fluorescent dyes and labeled with fluorescence. It captures the specific fluorescence signals of the samples and generates high-definition microscopic images. Combined with deep learning AI intelligent algorithms, it processes the scanned images, extracts signals, accurately identifies the morphology, fluorescence intensity, and distribution characteristics of the samples, and completes quantitative analysis through big data computing. This avoids human observation errors, ensuring accurate, stable, and repeatable detection results.

Function and Use

Core Function: The device integrates fluorescence microscopy technology and intelligent image scanning technology. It is equipped with a fully automated sample processing system, capable of automatically loading samples, preparing slides, staining, scanning, and identifying throughout the process. It can complete the entire workflow of sample imaging, fluorescence signal analysis, data statistics, and report output in one step, without the need for manual intervention. This fully realizes the fully automated operation of sample testing, significantly improving the detection efficiency and standardization level.

Main Applications:

1. Fungal Detection

The equipment can conduct fully automated and standardized testing on various clinical samples such as human secretions, dander, nail debris, sputum, etc. It automatically stains and specifically marks the fungal hyphae and spore core structures through the system. Combined with fully automatic field scanning and AI intelligent recognition technology, it accurately distinguishes fungal targets from sample impurities and dust interference, quickly determines the fungal infection status of the sample and quantifies the positive detection results. Primarily used in hospital dermatology and clinical laboratory departments, this product is designed for the auxiliary screening and clinical diagnosis of superficial and deep fungal infections as well as fungal skin diseases. It can maximize the replacement of traditional manual microscopy, effectively reduce the rates of missed diagnosis and misdiagnosis, and significantly enhance the standardization and accuracy of fungal detection.

II. Vaginal Secretion Testing

This equipment is suitable for the fully automatic fluorescence microscopic screening and index analysis of gynecological vaginal secretion specimens. Relying on the fully automatic sample processing capability, it automatically completes sample loading, preparation, staining, and fluorescence scanning. Through fluorescence-labeled staining combined with AI intelligent recognition algorithms, it accurately identifies the core detection targets such as fungi, trichomonas, white blood cells, epithelial cells, bacilli, and bacteria in the samples, and automatically completes target identification, classification counting, and intelligent interpretation. It can efficiently complete routine screening for gynecological vaginitis and reproductive tract infections, accurately assess the vaginal microecological environment, abnormal flora, and infection types, avoid errors in manual operation and subjective interpretation, and realize standardized, intelligent, and high-throughput clinical testing of gynecological secretion testing.

III. Tuberculosis Detection

This equipment is suitable for detecting tuberculosis clinical samples such as sputum and bronchoalveolar lavage fluid. It can automatically complete sample staining and panoramic scanning imaging. Through specific fluorescent staining, Mycobacterium tuberculosis presents characteristic fluorescent morphology. Combined with high-power microscopic panoramic scanning technology and AI intelligent recognition algorithms, it accurately captures the characteristic bacterial morphology of Mycobacterium tuberculosis, automatically screens positive fields, counts the number of bacteria, and completes tuberculosis sample screening and precise determination of positive results. It is widely used in hospital initial tuberculosis screening, grassroots batch screening, clinical auxiliary diagnosis and treatment effect re-examination. Compared with traditional manual acid-fast staining microscopy, the scanning field is fully covered, the detection rate is higher, and the results are more stable. It is suitable for clinical routine and high-throughput tuberculosis detection scenarios.