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Automatic Fluorescence Cell Analyzer Jupita

Introduction：
Jupita is a full-automatic multi-channel cell fluorescence analyzer introduced by Newton Optics. It is based on image detection and combines multi-fluorescence channels to collect cell information in the image for quantitative analysis of cell samples. Jupita combines cell image analysis and counting with fluorescence analysis to provide both bright-field cell counting statistics and analysis results for up to 12 combinations of fluorescence channels.   Patented fully automatic/autofocus cell fluorescence analysis system Jupita adopts Newton optical self-developed automatic cell fluorescence analysis control scheme, and cooperates with stepping motor and joystick to control sample entry, movement and precise positioning, thus realizing multi-channel and multi-field sampling. Jupita can fully automatic focus processing of samples to ensure clear images and accurate results. The design of double laser beam excitation light source and filter turntable greatly improves the stability and operability of the system. Reliable, accurate and fast image processing system Jupita fluorescence analyzer uses industrial-grade high-pixel CMOS, LED excitation light source and filter. In the counting process, each sample is sampled in three fields of view, and the image information of the sample bright field and selected fluorescence channel is collected at the same time. Larger sample collection ensures the accuracy of the count, and it is verified that the fitting R2 value of the count result is greater than 0.999 *. With the integrated control system and efficient algorithm, Jupita cell analyzer can complete the fluorescence analysis of a single field of view in 10 seconds, and the fluorescence analysis results of 6 samples and 18 sampling fields can be obtained in 5 minutes.   Fully automatic multi-fluorescence synchronous detection, a variety of applications at a touch Jupita can provide up to 4 excitation lights and 2 filters to meet the needs of various cell applications. Jupita has a built-in full-automatic optical path switching system. A single experiment can detect the results of 2 channels at the same time. The software presets a variety of commonly used dyes/fluorescent proteins and corresponding spectral combinations for selection. You only need to set up the required experimental scheme and leave the rest to Jupita.

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Cell Counter Zorro

Introduction：
-Independent R & D and production -Based on the classic trypan blue staining exclusion method -Unique LED indicator design -Faster, less expensive, smaller, more accurate, more intuitive -Compatible with multiple cell morphologies and accurate counting -Excellent algorithm automatically filters cell debris and background noise   Cytometer-Zorro (smaller/less/more accurate) Intelligent compact model easy to operate, one step to complete The time to test a sample is only 2s, and a counting plate can be used. Test 6 samples, indicator light design, to ensure the stability of the data;

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Automated Cell Counter Venus

Introduction：
Venus is a full-automatic portable high-throughput cell counter introduced by Newton Optics, which can count all kinds of cells in high-throughput bright field and trypan blue. Venus adopts split design and EasyFive six-digit cell counting plate, which can realize accurate counting of 6 samples and 30 visual fields in one step, and the time is only 1 minute. The unique portable design greatly improves the space utilization of the laboratory.   Patented fully automatic/autofocus cell viability analysis system *  Venus uses Newtonian optical self-developed automatic cell viability analysis control scheme, with stepper motor and joystick control sample entry, movement and precise positioning, the use of high-speed camera to obtain images, combined with analysis software, complete cell count analysis. At the same time, thanks to the inverted microscopic imaging optical path design and compact automatic focusing mobile structure *,Venus has achieved a technological breakthrough of smaller size and higher degree of automation. Fully automated design brings less human factor errors, thereby improving experimental efficiency and accuracy. * A new automatic cell counter. ZL 202020922280.2 (Authorized) * A compact electric focusing moving structure for inverted microscopic imaging. ZL 202021861178.2 (Authorized)   Stable, high-speed, high-throughput image analysis technology  The Venus cell counter uses a high-pixel industrial-grade CMOS sensor. In the counting process, each sample is sampled in 5 fields of view, and the average value is automatically calculated. A larger sample collection volume ensures the accuracy of the count. It is verified that the R2 value of the counting result fitting is greater than 0.999 *. At the same time, with the integrated control system and efficient algorithm, compared with the traditional blood cell counting board manual counting 1 × 106 cells takes about 5 minutes, Venus cell counting instrument only takes 2 seconds. In 1 minute, accurate results * for 6 samples and 30 sampling fields can be obtained *. * Results from cell count tests on RAW264.7,Siha at gradient concentrations, respectively * Results from a single six-sample fully automated test of suspension culture cells at a concentration of 1 × 106   Fully self-developed artificial intelligence algorithm  As the key technology of cell counter, intelligent image recognition and analysis algorithm determines the accuracy and stability of the counting results. Venus cell counter uses Newton optical self-developed artificial intelligence algorithm. After testing and verification, for the same sample, the CV value of single field count is less than 10%, and the CV value of multi-field count is less than 5%. In addition, Newton optics is specially optimized for small diameter, high density, cluster cells, cell debris and other special cell samples, which greatly broadens the scope of application of the cell counter. And, Newton optics will continue to optimize the algorithm design, software free iterative upgrade, suitable for more cell system.  

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