Reference
Cristóbal G., Blanco S., Bueno G. (eds) Modern Trends in Diatom Identification, Springer International Publishing, Switzerland, 2020, https://doi.org/10.1007/978-3-030-39212-3.

Currently, digital microscopes can provide high resolution images of phytoplankton cells such as diatoms or desmidials, which are useful for monitoring water quality, which facilitates the analysis and automatic identification of this type of specimen. Conventional approaches have traditionally been based on the use of light microscopy. However, manual image analysis is not practical due to the great diversity of this group of microalgae and its great morphological plasticity. For this reason, there is a need to use automated recognition techniques in diagnostic tools (for example, environmental monitoring networks or early warning systems) to improve water resources management and facilitate decision-making processes. This book provides information on the current state of the art in automatic identification systems in microscopy, describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of water quality indices.

Summary of content
- Presents a global vision and an update on this multidisciplinary topic
- Provides taxonomic keys for identification
- Includes information on new selected microalgae databases, open software, conferences, partnerships, research projects, educational projects and collections, catalogs and blogs.
- Describes the complete workflow of an automatic identification system, from acquisition to identification.
- Analyze the latest deep learning techniques for both the segmentation and classification stages.