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Roadmap on Deep Learning for Microscopy.

In ArXiv

Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural networks, and machine learning are all niche terms describing computational methods that have gained a pivotal role in microscopy-based research over the past decade. This Roadmap is written collectively by prominent researchers and encompasses selected aspects of how machine learning is applied to microscopy image data, with the aim of gaining scientific knowledge by improved image quality, automated detection, segmentation, classification and tracking of objects, and efficient merging of information from multiple imaging modalities. We aim to give the reader an overview of the key developments and an understanding of possibilities and limitations of machine learning for microscopy. It will be of interest to a wide cross-disciplinary audience in the physical sciences and life sciences.

Volpe Giovanni, Wählby Carolina, Tian Lei, Hecht Michael, Yakimovich Artur, Monakhova Kristina, Waller Laura, Sbalzarini Ivo F, Metzler Christopher A, Xie Mingyang, Zhang Kevin, Lenton Isaac C D, Rubinsztein-Dunlop Halina, Brunner Daniel, Bai Bijie, Ozcan Aydogan, Midtvedt Daniel, Wang Hao, Sladoje Nataša, Lindblad Joakim, Smith Jason T, Ochoa Marien, Barroso Margarida, Intes Xavier, Qiu Tong, Yu Li-Yu, You Sixian, Liu Yongtao, Ziatdinov Maxim A, Kalinin Sergei V, Sheridan Arlo, Manor Uri, Nehme Elias, Goldenberg Ofri, Shechtman Yoav, Moberg Henrik K, Langhammer Christoph, Špačková Barbora, Helgadottir Saga, Midtvedt Benjamin, Argun Aykut, Thalheim Tobias, Cichos Frank, Bo Stefano, Hubatsch Lars, Pineda Jesus, Manzo Carlo, Bachimanchi Harshith, Selander Erik, Homs-Corbera Antoni, Fränzl Martin, de Haan Kevin, Rivenson Yair, Korczak Zofia, Adiels Caroline Beck, Mijalkov Mite, Veréb Dániel, Chang Yu-Wei, Pereira Joana B, Matuszewski Damian, Kylberg Gustaf, Sintorn Ida-Maria, Caicedo Juan C, Cimini Beth A, Bell Muyinatu A Lediju, Saraiva Bruno M, Jacquemet Guillaume, Henriques Ricardo, Ouyang Wei, Le Trang, Gómez-de-Mariscal Estibaliz, Sage Daniel, Muñoz-Barrutia Arrate, Lindqvist Ebba Josefson, Bergman Johanna

2023-Mar-07