Special Issue "Big Data Calculation and New Findings for Aquatic Toxicology"

A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Novel Methods in Toxicology Research".

Deadline for manuscript submissions: 28 February 2024 | Viewed by 1212

Special Issue Editors

Epidermal Stem Cell Lab, Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 320314, Taiwan
Interests: deep learning; image analysis; aquatic animal physiology and toxicology; new tool invention
Special Issues, Collections and Topics in MDPI journals
Department of Biological Sciences and Technology, National University of Tainan, Tainan 70005, Taiwan
Interests: protozoa; cilia biology; image analysis; big data calculation; green algae

Special Issue Information

Dear Colleagues,

With the help of new and advanced tool development, we are witnessing a large transition from a manual to a fully automated and systematic dissection of biological questions in the field of aquatic toxicology. For example, by using machine learning, computer vision and big data calculation methods, we are able to address animal/plant cell counting, cardiac physiology and locomotion tracking in a diverse organisms like duckweed, teterahymena, water flea and zebrafish [1,2,3]. This Special Issue “Big Data Calculation and New Findings for Aquatic Toxicology” of Toxics particularly welcomes researchers who use big-data-mining skill to address diverse questions pertaining to aquatic toxicology. Mathematic algorithms, image segmentations, classifications, locomotion trajectory analyses, volumetric predictions and multiple dimensional data analyses applied to plants, animals or protozoa are especially welcome. Novel tools or new applications that could to help wet-lab researchers to ask better biological questions are appreciated. This Special Issue of the Toxics journal invites researchers around the world to submit their results or reviews in the field of “Big Data Calculation and New Findings for Aquatic Toxicology”.

Prof. Dr. Chung-Der Hsiao
Dr. Che-Chia Tsao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • plants
  • animals
  • protozoa
  • invertebrates
  • animal behavior
  • toxicology
  • zebrafish
  • medaka
  • daphnia
  • VBA
  • OpenCV
  • Mask RCNN
  • YOLO
  • U-Net
  • StarDist
  • ImageJ
  • Matlab
  • big data
  • fractal dimension
  • entropy
  • mathematic algorithm
  • clustering method
  • image segmentation
  • image classification
  • locomotion trajectory
  • volumetric prediction
  • deep learning

Published Papers (1 paper)

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18 pages, 4307 KiB  
Color Perspectives in Aquatic Explorations: Unveiling Innate Color Preferences and Psychoactive Responses in Freshwater Crayfish
Toxics 2023, 11(10), 838; https://doi.org/10.3390/toxics11100838 - 03 Oct 2023
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Color preference assay is a test for an animal’s innate and adaptive response to differentiate colors and can be used as an endpoint for psychoactive activity evaluation. Several color preference test methods in aquatic animals that can be used to perform behavioral screening [...] Read more.
Color preference assay is a test for an animal’s innate and adaptive response to differentiate colors and can be used as an endpoint for psychoactive activity evaluation. Several color preference test methods in aquatic animals that can be used to perform behavioral screening have been established. However, the color preference test conditions have yet to be extensively studied and standardized in aquatic invertebrates. This study aimed to replicate and optimize the previously published method to evaluate the potential color preference in freshwater crayfish based on four different approaches: species, life stages, sex, and pharmaceutical exposure. Using the optimized setup, two crayfish species display color preferences to some specific colors. P. clarkii displays more dominant color preference behavior than C. quadricarinatus in terms of color preference ranking and index. P. clarkii prefers the red color compared to other colors (red > green > blue > yellow), while C. quadricarinatus dislikes yellow compared to other colors (blue = green = red > yellow). Since P. clarkii has a more obvious color index ranking and several advantages compared to C. quadricarinatus, we conducted further tests using P. clarkii as an animal model. In the juvenile and adult stages of P. clarkii, they prefer red and avoid yellow. However, the juvenile one did not display a strong color preference like the adult one. Different sex of crayfish displayed no significant differences in their color preference responses. In addition, we also evaluated the potential effect of the antidepressant sertraline on color preference in P. clarkii and found that waterborne antidepressant exposure can significantly alter their color preference. This fundamental information collected from this study supports the crayfish color preference test as a good behavioral test to address environmental pollution. Full article
(This article belongs to the Special Issue Big Data Calculation and New Findings for Aquatic Toxicology)
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