High resolution images of microbe cells such as diatoms or foraminifera can now be
acquired by digital microscopes what facilitates automating the analysis and identification …

Microscopic algae segmentation, specifically of diatoms, is an essential procedure for water
quality assessment. The segmentation of these microalgae is still a challenge for computer …

Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

Diatoms, a kind of algae microorganisms with several species, are quite useful for water
quality determination, one of the hottest topics in applied biology nowadays. At the same …

The rapid and accurate taxonomic identification of fossils is of great significance in
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …

Deep convolutional neural networks are emerging as the state of the art method for
supervised classification of images also in the context of taxonomic identification. Different …

Featured Application Development of a fully operative low-cost automated digital
microscope for the detection of diatoms by applying deep learning. Abstract Currently …

Background and aims Palm fossils are often used as evidence for warm and wet
palaeoenvironments, reflecting the affinities of most modern palms. However, several extant …

Automatic classification of aquatic microorganisms is based on the morphological features
extracted from individual images. The current works on their classification do not consider …

The variations in algal diversity and populations are essential for evaluating aquatic system
health. However, manual classification is time-consuming and labor-intensive. As AI has …