Innovative microfossil (radiolarian) analysis using a system for automated image collection and AI-based classification of species

Last Abundant Appearance Datum of Hemidiscus karstenii driven by climate change

(2020) Xavier Crosta et al.   MARINE MICROPALEONTOLOGY

Automated collection of single species of microfossils using a deep learning–micromanipulator system

(2020) Takuya Itaki et al.   Progress in Earth and Planetary Science

Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance

(2019) R. Mitra et al.   MARINE MICROPALEONTOLOGY

Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks

(2019) Allison Y. Hsiang et al.   Paleoceanography and Paleoclimatology

Classification of volcanic ash particles using a convolutional neural network and probability

(2018) Daigo Shoji et al.   Scientific Reports

High-reliability zircon separation for hunting the oldest material on Earth: An automatic zircon separator with image-processing/microtweezers-manipulating system and double-step dating

(2018) Yukio Isozaki et al.   Geoscience Frontiers

Late Pleistocene stratigraphy and palaeoceanographic implications in northern Bering Sea slope sediments: evidence from the radiolarian speciesCycladophora davisiana

(2009) Takuya Itaki et al.   JOURNAL OF QUATERNARY SCIENCE