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Zhejiang Tailin Biotechnology Co., Ltd
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Zhejiang Tailin Biotechnology Co., Ltd

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    tailinmarketing@tailingood.com

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    Tailin Technology Park, No. 2930 Nanhuan Road, Binjiang District, Hangzhou City

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Fully automatic colony counting and cultivation workstation

NegotiableUpdate on 02/13
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Overview
The fully automatic colony counting and cultivation workstation is an intelligent workstation that integrates a constant temperature incubator and fully automatic colony counting and interpretation. The product is based on the principle of microbial growth morphology changes, and utilizes machine vision and neural network algorithm technology to achieve batch plate culture and obtain accurate colony counting results.
Product Details

Application field

Biopharmaceuticals: Environmental testing of clean room air and microbial limit testing

Food safety: Total colony count, coliform count, mold and yeast count, lactic acid bacteria test

Environmental testing: total bacterial count detection, fecal coliform group detection

Medical and health: Microbial count measurement, hospital infection monitoring

Beauty and daily chemical products: Analyze all cosmetic matrices, test challenges in research and development, and control the quality of raw materials and finished products

Water quality testing: Microbial monitoring of industrial circulating water, microbial detection by membrane filtration method, and determination of total coliform bacteria

Inspection and quarantine: pathogenic bacterial colony count

Life Sciences: Colony Counting

Product Features

1. Realize batch rapid counting, support simultaneous cultivation and counting of 160/320 petri dishes, and detect and count colonies once they grow;

2. The cultivation and counting process is fully automated, with continuous counting and saving of growth images, dynamic playback of colony growth videos, output of colony count curves, and automatic generation of result reports;

3. High counting accuracy: Our self-developed neural network algorithm utilizes deep learning of neural networks to train tens of thousands of data points. By modeling the time-domain information of bacterial colonies, we can determine their growth patterns in real time, confirm colony targets faster and more accurately, eliminate interference from adherent colonies and impurities, and achieve precise counting;

4. Support remote communication, with SMS, phone, email, official account and other information sending methods, and the results can be sent to the mobile terminal instantly;

5. Broad spectrum adaptability, supporting plate counting and cultivation of various inoculation types such as coating method, pouring plate method, spiral inoculation method, sedimentation method, filter membrane method, etc;

6. Support communication with various laboratory management software such as LIMS, LIS, LES, and export of multi format data reports such as PDF, XLS, CSV, etc.