Big Elf Urine Sediment Analyzer

Big Elf Urine Sediment Analyzer
Planar flow technology and shape recognition technology.
Laser induction, rail-type sampling device,
Use the latest image processing methods to obtain cell image characteristic information to achieve more accurate and reliable cell identification.
Fully automated specimen processing, with automatic prompts upon completion.
Automatically mark the location of the sample to be inspected to make it clear at a glance.
Ad hoc automatic instrument maintenance function to improve instrument reliability.
Machine Vision+
Technology
Adopt neuron model and apply machine vision+ technology to fully segment, identify, classify and count specimen images.
High-speed camera technology
Through the high-speed camera system's automatic focusing, tracking, acquisition, amplification, and full digital output, it can effectively speed up detection and save time.
Advanced image segmentation and secondary recognition technology
Advanced image segmentation and secondary recognition technology improves the detection rate to the internationally advanced level.
Main technical parameters
Test items: white blood cells, red blood cells, epithelial cells, crystals and other components required by clinical requirements.
Detection principle: Using world-class neuron model and applying machine vision + technology, it can fully segment, identify, classify and count specimen images.
Detection speed sample hours
Sample volume:
Minimum. Non-centrifuged urine, inhalation volume.
Specimen processing: Specimens do not need to be centrifuged and can be directly tested on the machine.
Emergency function: Prioritize the entry of emergency specimens, and test them as they arrive.
Detection method: High and low power microscope detection, automatic screening of negative specimens, and automatic identification of positive specimens.
Sampling method: International universal dual-channel tube sampling, automatic mixing, sample aspiration, and barcode recognition function
Detection sensitivity: one target.
Amount of images collected: Specimens above one frame.
Data storage capacity: pcs.
Online network function: two-way communication interface, networked with the user's system or system to achieve file sharing.