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The cryopreservation of biological materials is a highly complex process, as it involves numerous factors such as the cooling and thawing procedures, the administration of cryoprotective agents (CPAs), as well as the type and composition of…

Other Quantitative Biology · Quantitative Biology 2025-12-25 Jack Lee Jennings , Sanja Bojic , Lukas Breitwieser , Alex Sharpe , Roman Bauer

Determining the 3D structures of biological molecules is a key problem for both biology and medicine. Electron Cryomicroscopy (Cryo-EM) is a promising technique for structure estimation which relies heavily on computational methods to…

Machine Learning · Statistics 2015-01-29 Ali Punjani , Marcus A. Brubaker

Designing cryoprotectant agent (CPA) cocktails for vitrification is challenging because formulations must be concentrated enough to suppress ice formation yet non-toxic enough to preserve cell viability. This tradeoff creates a large,…

Machine Learning · Computer Science 2026-02-17 Daniel Emerson , Nora Gaby-Biegel , Purva Joshi , Yoed Rabin , Rebecca D. Sandlin , Levent Burak Kara

The past decade's "cryoEM revolution" has produced exponential growth in high-resolution structural data through advances in cryogenic electron microscopy (cryoEM) and tomography (cryoET). Deep learning integration into structural…

Quantitative Methods · Quantitative Biology 2025-07-29 Brady K. Zhou , Jason J. Hu , Jane K. J. Lee , Z. Hong Zhou , Demetri Terzopoulos

The untenable dependence of cryopreservation on cytotoxic cryoprotectants has motivated the mining of biochemical libraries to identify molecular features marking cryoprotectants that may prevent ice crystal growth. It is hypothesized that…

Other Quantitative Biology · Quantitative Biology 2021-12-03 Sammy Sambu

A model of a multilayer device with non-trivial geometrical structure and nonlinear dependencies of thermodynamic material properties at cryogenic temperatures is suggested. A considered device, called cryogenic cell, is intended for use in…

Computational Physics · Physics 2015-11-20 Alexander Ayriyan , Jan Busa , Eugeny E. Donets , Hovik Grigorian , Jan Pribis

Cryo-electron microscopy (cryo-EM) emerges as a pivotal technology for determining the architecture of cells, viruses, and protein assemblies at near-atomic resolution. Traditional particle picking, a key step in cryo-EM, struggles with…

Biomolecules · Quantitative Biology 2024-04-17 Chentianye Xu , Xueying Zhan , Min Xu

Cellular Electron Cryotomography (CryoET) offers the ability to look inside cells and observe macromolecules frozen in action. A primary challenge for this technique is identifying and extracting the molecular components within the crowded…

Quantitative Methods · Quantitative Biology 2021-08-04 Muyuan Chen , Wei Dai , Ying Sun , Darius Jonasch , Cynthia Y He , Michael F. Schmid , Wah Chiu , Steven J Ludtke

Cryogenic electron microscopy (cryo-EM) has become an enabling technology in drug discovery and in understanding molecular bases of disease by producing near-atomic resolution (less than 0.4 nm) 3D reconstructions of biological…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Hong Xu , David E. Timm , Shireen Y. Elhabian

Single-particle cryo-electron microscopy (cryo-EM) has become a cornerstone of structural biology, enabling near-atomic resolution analysis of macromolecules through advanced computational methods. However, the development of cryo-EM…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Runmin Jiang , Genpei Zhang , Yuntian Yang , Siqi Wu , Minhao Wu , Wanyue Feng , Yizhou Zhao , Xi Xiao , Xiao Wang , Tianyang Wang , Xingjian Li , Muyuan Chen , Min Xu

Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool that visualizes the structural and spatial organization of macromolecules at a near-native state in single cells, which has broad applications in life science. However,…

Quantitative Methods · Quantitative Biology 2021-07-28 Xuefeng Du , Haohan Wang , Zhenxi Zhu , Xiangrui Zeng , Yi-Wei Chang , Jing Zhang , Min Xu

Cryo-electron microscopy (cryo-EM) is a powerful technique for determining high-resolution 3D biomolecular structures from imaging data. Its unique ability to capture structural variability has spurred the development of heterogeneous…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Minkyu Jeon , Rishwanth Raghu , Miro Astore , Geoffrey Woollard , Ryan Feathers , Alkin Kaz , Sonya M. Hanson , Pilar Cossio , Ellen D. Zhong

The continuous development of simple and practical cell cryopreservation methods is of great importance to a variety of sectors, especially when considering the efficient short- and long-term storage of cells and their transportation.…

Tissues and Organs · Quantitative Biology 2019-05-03 Roaa Alnemari , Pavithra Sukumar , Muhammedin Deliorman , Mohammad A. Qasaimeh

Adapting production-level computer vision tools to bespoke scientific datasets is a critical "last mile" bottleneck. Current solutions are impractical: fine-tuning requires large annotated datasets scientists often lack, while manual code…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Xuefei , Wang , Kai A. Horstmann , Ethan Lin , Jonathan Chen , Alexander R. Farhang , Sophia Stiles , Atharva Sehgal , Jonathan Light , David Van Valen , Yisong Yue , Jennifer J. Sun

Luminescence thermometry has been extensively exploited in the last decades both from the fundamental and applied point of views. The application of photoluminescent nanoparticles on the microscopic level based on rare-earth doped (RED)…

Cryo-electron microscopy (cryo-EM) is a powerful technique in structural biology and drug discovery, enabling the study of biomolecules at high resolution. Significant advancements by structural biologists using cryo-EM have led to the…

Biomolecules · Quantitative Biology 2024-12-05 Yi Zhou , Yilai Li , Jing Yuan , Quanquan Gu

Drug discovery is a multi-stage process that comprises two costly major steps: pre-clinical research and clinical trials. Among its stages, lead optimization easily consumes more than half of the pre-clinical budget. We propose a combined…

Machine Learning · Computer Science 2020-11-30 Leili Zhang , Giacomo Domeniconi , Chih-Chieh Yang , Seung-gu Kang , Ruhong Zhou , Guojing Cong

Scientific Machine Learning (SciML) integrates data-driven inference with physical modeling to solve complex problems in science and engineering. However, the design of SciML architectures, loss formulations, and training strategies remains…

Artificial Intelligence · Computer Science 2026-02-17 Qile Jiang , George Karniadakis

Cryo-electron microscopy (cryo-EM) is an indispensable technique for determining the 3D structures of dynamic biomolecular complexes. While typically applied to image a single molecular species, cryo-EM has the potential for structure…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Jeffrey Gu , Minkyu Jeon , Ambri Ma , Serena Yeung-Levy , Ellen D. Zhong

Freezing interface interacting with soft cells is a core issue in cryopreservation. However, most of existing cryopreservation approaches face challenges such as complex processing and poor controllability. Herein we report a new,…

Applied Physics · Physics 2020-07-27 Jiaxue You , Yunhan Zhang , Qiao Chen , Yifan Xie , Yixiao Li , Lifang Hu , Li Shang
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