@BactLAB vs Labscope

The safety and security of foods are important for humans to live. The examination of bacteria in foods and drinking water can be easily available to everyone. The product supports human life in any place and region. Making it easy bacterial counting, by using a familiar mobile device for everyone around the world, trying to promote operational efficiency using the global cloud and AI, adding value to CompactDry™ to play a role in the improvement of the QOL, keeping these ideas in mind we have developed the application for everyone engaging on health and safety of food. You can easily determine the bacterial (colony) count cultured in CompactDry™ using your smartphone. Targeted Products ( 7 Types ) CompactDry™ TC ( General Bacteria ) CompactDry™ TCR ( General Bacteria ) CompactDry™ EC ( E.coli / Coliforms ) CompactDry™ CF ( Coliforms ) CompactDry™ YM ( Yeast / Fungus ) CompactDry™ YMR ( Yeast / Fungus ) CompactDry™ ECO ( E.coli ) Primary Functions Colony counter - Colony count arbitrary adjustment function equipped - Cloud storage function for count data Count report [ pdf / email ] Uniform management of data by company (*Optional) Remarks - Regarding the colony counting process, the processing with the initial AI model released in August 2018 had implemented counting technology image processing that combines "image processing" and "machine learning (Deep Learning)" for colony position detection. In the AI model released in July 2023, object detection AI network (machine learning model) [YOLOv4] that processes position (area) detection and class classification in one network is used as a backbone and implemented as a hard-tuning AI enabling business use by repeated inference verification tests specializing in colony detection (counting) . - The cloud image recognition technology used in this service employs artificial intelligence (AI) technology for image recognition system jointly developed by Shimadzu Diagnostics Corporation and Hitachi Solutions, Ltd. - Restrictions for input images in Colony Counter No warranty of accuracy is given for the following images. 1. Image resolution of less than 800 pix x 1200 pix. 2. The background color is not white. 3. Colored medium. 4. A viscous sample is added. 5. Food residues are contained. 6. Highly concentrated colonies. Other ・The count result of "0" does not mean a negative result. ・Detection range is between 1–250 cfu/plate. ・There are two types of misreads that can occur when using the @BactLAB™. - @BactLAB™ Application did not detect all of the colonies specific to the CompactDry™ plate. - The counter detected all the colonies but it categorized them incorrectly. - Please note that the specification or performance may be changed without notice. - The cloud image recognition technology utilized in this service employs the artificial intelligence (AI) technology for image recognition system jointly developed by Shimadzu Diagnostics Corporation and Hitachi Solutions, Ltd. - Please see here. https://corp.sdc.shimadzu.co.jp/english/products/global/bactlab/

With Labscope, you transform your ZEISS microscope and camera into a WiFi-enabled imaging system. Be it in the laboratory, university, school or even for your hobby - Labscope snaps images and records videos of your microscopic samples, easier than ever. You can create annotations and reports, do image processing and save the files to your Windows network, or simply share them with anyone. Anywhere. Moreover, with Labscope you can easily create a high-quality digital classroom system, showing students a fun way of learning. Benefit from more than 160 years of experience in microscopy and explore the freedom of mobile digital imaging. Easy. Precise. Efficient. Download Labscope and test all features with the built-in virtual microscope! For more information visit www.zeiss.com/labscope Intended use - Labscope Labscope for iOS is a microscope software for control, image acquisition, image processing and image analysis. Typical application fields of the software are general tasks and applications in microscopy or image acquisition, among others for education, routine and research. The software is not intended to directly or indirectly produce medical diagnostic results.