Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry

IF 9.4 1区生物学 Q1 Agricultural and Biological Sciences

New Phytologist Pub Date : 2023-09-07 DOI:10.1111/nph.19186

Claire M. Barnes, Ann L. Power, Daniel G. Barber, Richard K. Tennant, Richard T. Jones, G. Rob Lee, Jackie Hatton, Angela Elliott, Joana Zaragoza-Castells, Stephen M. Haley, Huw D. Summers, Minh Doan, Anne E. Carpenter, Paul Rees, John Love

引用次数: 0

Abstract

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通过探索性深度学习和成像流式细胞术对环境样本中的花粉进行演绎式自动分类

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来源期刊

New Phytologist PLANT SCIENCES-

CiteScore

17.60

自引率

5.30%

发文量

728

审稿时长

1 months

期刊介绍： New Phytologist is a leading publication that showcases exceptional and groundbreaking research in plant science and its practical applications. With a focus on five distinct sections - Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology - the journal covers a wide array of topics ranging from cellular processes to the impact of global environmental changes. We encourage the use of interdisciplinary approaches, and our content is structured to reflect this. Our journal acknowledges the diverse techniques employed in plant science, including molecular and cell biology, functional genomics, modeling, and system-based approaches, across various subfields.