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BloomOptix vs Protozoan Identification Kullanım & İstatistikleri

BloomOptix® AI is a machine vision platform capable of detecting, classifying and providing cell counts for cyanobacteria across six genera (Microcystis, Dolichospermum, Aphanizomenon, Woronichinia, Limnoraphis, and Gloeotrichia). With 94% agreement with expert taxonomy, the BloomOptix® AI provides a reliable, unbiased means for anyone to monitor their lake, reservoir or river for cyanobacterial harmful algal blooms (HABs) in the field on in the lab. To use the BloomOptix® AI, collect a sample of water and plate a few drops onto a microscope slide. Then, image the sample using a 2mm ioLight microscope. Simply upload photos of suspected cyanobacteria via the app and provide field observations, and any other data you collect. The BloomOptix® AI will return cyanobacterial colony IDs and cell counts within seconds of upload. There is also no more need for chain-of-custody forms nor field data sheets, as all data uploaded via the app is can be geolocated, as well as automatically stored and archived for later use. The BloomOptix® app is a companion app for use with an ioLight microscope (purchased separately) and a subscription to the BloomOptix® AI ecosystem.
  • Apple App Store
  • BOŞTA
  • Eğitim

Mağaza Sıralaması

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The Protozoan Identification app features Carolina images and videos. The app includes an interactive dichotomous key, 3 labeling activities for practice and study, 20 additional photos of unique protozoans, and 8 protozoan video clips. *The Lite version includes only one labeling activity, two video, and two photos.
  • Apple App Store
  • BOŞTA
  • Eğitim

Mağaza Sıralaması

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BloomOptix ile Protozoan Identification için sıralama karşılaştırması

Son 28 gündeki BloomOptix sıralama trendini Protozoan Identificationile karşılaştırın

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BloomOptix vs. Protozoan Identification ülke karşılaştırmasına göre sıralama

Son 28 gündeki BloomOptix sıralama trendini Protozoan Identificationile karşılaştırın

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BloomOptix VS.
Protozoan Identification

Ocak 19, 2026