@BactLAB
生產力
免費 · 專為 iPad 設計
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/
評分與評論
此App未收到足夠的評分或評論以顯示概況。
Small bug fix.
開發者Shimadzu Diagnostics Corporation表明App的私隱慣例或包括下列資料的處理。詳情請參閲 開發者的私隱政策 。
與你連結的資料
開發者可能會收集以下資料並連結你的個人身份：
- 聯絡資料
- 用户內容
輔助使用
開發者尚未表示此 App 支援哪些輔助使用功能。 進一步了解
資料
- 供應商
- Shimadzu Diagnostics Corporation
- 大小
- 18.7 MB
- 類別
- 生產力
- 相容性
須使用 iOS 11.0 或以上版本。
- iPhone
須使用 iOS 11.0 或以上版本。 - iPad
須使用 iPadOS 11.0 或以上版本。 - iPod touch
須使用 iOS 11.0 或以上版本。 - Mac
須使用 macOS 11.0 或以上版本及配備 Apple M1 或以上版本晶片的 Mac。 - Apple Vision
須使用 visionOS 1.0 或以上版本。
- 語言
- 英文
- 年齡分級
13+
- 13+
- 偶爾
醫療資訊
- 版權
- © Shimadzu Diagnostics Corporation