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Cell Image Analysis Techniques
TopicLeading institutions, researchers & key papers
This cluster of papers covers advanced techniques and tools in bioimage analysis, microscopy, and high-content screening. It includes topics such as machine learning for cellular image analysis, automated neuronal morphology reconstruction, deep learning applications, and phenotypic profiling of cellular responses. The papers also discuss the use of advanced image processing methods and the integration of high-throughput microscopy in drug discovery.
126
Works
IDs:OpenAlex
How has Cell Image Analysis Techniques's publication output changed over time?
ScholarIQpublication output · 2007–2023
Output grew0% over the shown period — from 1 works in 2007 to 1 in 2023.
1
1
1
1
1
2
2
2
1
1
2007200820092013201520182019202020212023
What are the most-cited papers on Cell Image Analysis Techniques?
ScholarIQmost cited works
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne J. Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie‐Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Žitnik
Nature. 20231,680 Citations
High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
Hui Gao, Joshua M. Korn, Stéphane Ferretti, John E. Monahan, Youzhen Wang, Mallika Singh, Chao Zhang, Christian Schnell, Guizhi Yang, Yun Zhang, O. Alejandro Balbin, Stéphanie Barbé, Hongbo Cai, Fergal Casey, Susmita Chatterjee, Derek Y. Chiang, Shannon Chuai, Shawn Cogan, Scott D. Collins, Ernesta Dammassa, Nicolas Ebel, Millicent Embry, John Green, Audrey Kauffmann, Colleen Kowal, Rebecca Leary, Joseph Lehár, Ying Liang, Alice Loo, Edward Lorenzana, E. Robert McDonald, Margaret E. McLaughlin, Jason J. Merkin, Ronald A. Meyer, Tara L. Naylor, Montesa Patawaran, Anupama Reddy, Claudia Röelli, David A. Ruddy, Fernando Salangsang, Francesca Santacroce, Angad Singh, Yan Tang, Walter Tinetto, Sonja Tobler, Roberto Velazquez, K. Venkatesan, Fabian Von Arx, Hui Qin Wang, Zongyao Wang, Marion Wiesmann, Daniel F. Wyss, Fiona Xu, Hans Bitter, Peter Atadja, Emma Lees, Francesco Hofmann, En Li, Nicholas Keen, Robert Cozens, Michael Rugaard Jensen, Nancy Pryer, Juliet Williams, William R. Sellers
Nature Medicine. 20151,450 Citations
BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
Katrin Amunts, Claude Lepage, Louis Borgeat, Hartmut Mohlberg, Timo Dickscheid, Marc-Étienne Rousseau, Sebastian Bludau, Pierre‐Louis Bazin, Lindsay B. Lewis, Ana‐Maria Oros‐Peusquens, N. Jon Shah, Thomas Lippert, Karl Zilles, Alan C. Evans
Science. 2013946 Citations
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
Writing Group, M Snyder, Shin Lin, Amanda L. Posgai, Mark A. Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt–Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar‐Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Caltech-UW TMC, Long Cai, Jay Shendure, Cole Trapnell, Shin Lin, Dana L. Jackson, Stanford-WashU TMC, Michael P. Snyder, Garry P. Nolan, William J. Greenleaf, Yiing Lin, Sylvia K. Plevritis, Sara Ahadi, Stephanie Nevins, Hayan Lee, Christian Schuerch, Sarah Black, Vishal G. Venkataraaman, Edward D. Esplin, Aaron Horning, Amir Bahmani, UCSD TMC, Kun Zhang, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Mark A. Atkinson, Bernd Bodenmiller, Todd M. Brusko, Michael Clare‐Salzler, Harry S. Nick, Kevin J. Otto, Amanda L. Posgai, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond C. Harris, Mark deCaestecker, Agnes B. Fogo, Raf Van de Plas, Ken S. Lau, Long Cai, Guo‐Cheng Yuan, Qian Zhu, Ruben Dries, Harvard TTD, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Purdue TTD, Julia Laskin, DongHye Ye, Kristin Burnum-Johnson, Paul Piehowski, Charles Ansong, Ying Zhu, Stanford TTD, Pehr Harbury, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Ziv Bar‐Joseph
Nature. 2019686 CitationsOPEN ACCESS
Intelligent Image-Activated Cell Sorting
Nao Nitta, Takeaki Sugimura, Akihiro Isozaki, Hideharu Mikami, Kei Hiraki, Shinya Sakuma, Takanori Iino, Fumihito Arai, Taichiro Endo, Yasuhiro Fujiwaki, Hideya Fukuzawa, Misa Hase, Takeshi Hayakawa, K. Hiramatsu, Yu Hoshino, Mary Inaba, Takuro Ito, Hiroshi Karakawa, Yusuke Kasai, Kenichi Koizumi, Sang Wook Lee, Cheng Lei, Ming Li, Takanori Maeno, Satoshi Matsusaka, Daichi Murakami, Atsuhiro Nakagawa, Yusuke Oguchi, Minoru Oikawa, Tadataka Ota, Kiyotaka Shiba, Hirofumi Shintaku, Yoshitaka Shirasaki, Kanako Suga, Yuta Suzuki, Nobutake Suzuki, Yo Tanaka, Hiroshi Tezuka, Chihana Toyokawa, Yaxiaer Yalikun, Makoto Yamada, Mai Yamagishi, Takashi Yamano, Atsushi Yasumoto, Yutaka Yatomi, Masayuki Yazawa, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Yasuyuki Ozeki, Keisuke Goda
S110447773. 2018543 CitationsOPEN ACCESS
Where is Cell Image Analysis Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Cell Image Analysis Techniques is open access?
ScholarIQopen access share
33%OPEN ACCESS
Gold
7%
Green
7%
Hybrid
13%
Bronze
7%
Closed
67%
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