1. Stomata Regulating Compound Screening

stomataslide

Now going for Arabidopsis stomata quantification…

Ref.

  • Toda Y, Toh S, Bourdais G, Robatzek S, Maclean D and Kinoshita T. DeepStomata: Facial Recognition Technology for Automated Stomatal Aperture Measurement. bioRxiv. 2018: doi.org/10.1101/365098

  • Toh S, Inoue S, Toda Y, Yuki T, Suzuki K, Hamamoto S, Fukatsu K, Aoki S, Uchida, M Asai E, et al. Identification and Characterization of Compounds that Affect Stomatal Movements. Plant Cell Physiol. 2018: 59, 1568–1580.

2. Image based Plant Disease Diagnosis

2-1. Interpretability methods and training optimization

Ref.

  • Toda Y and Okura F. How Convolutional Neural Networks Diagnose Plant Disease. Plant Phenomics. 2019: Article ID 9237136, 14 pages. link

2-2. Construction of Community annotation based Disease Atlas

diseaseatlas

3. Plant Phenotyping Modules in Development

  • Clustring Arabidopsis Mutants via representation vector and visualization

image-20190402153141429 ——> image-20190402153212196

  • Area, Leaf Tracking, …..

  • 005_seg

  • Leaf counting…..

    005_ln

  • Feeding scar area quantification (in preparation).

image-20190523183617034

4. DL Education and Materials thereof for Biologists

Google Colab based projects for python beginners Deep learning for biologists with keras