文献库，生知库 | 链接生命科学的每一步

日期影响因子

Label-free TIMING: an efficient, reliable and scalable AI workflow for automated profiling of cell-cell interaction behaviors in nanowell arrays

无标记 TIMINING：一种高效、可靠且可扩展的 AI 工作流程，用于自动分析纳米孔阵列中细胞间的相互作用行为

期刊:Frontiers in Bioinformatics

影响因子:3.9

doi:10.3389/fbinf.2026.1711797

Todkar, Anuj S; Kotha, Shyam Reddy; Bai, Lin; Mandula, Saikiran; Wilson, Hannah B; Meyer, Daniel D; Berdeaux, Rebecca; Roysam, Badrinath; Varadarajan, Navin

细胞生物学

发表日期：2026

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mViSE: A visual search engine for analyzing multiplex IHC brain tissue images (spatial proteomics)

mViSE：用于分析多重IHC脑组织图像（空间蛋白质组学）的可视化搜索引擎

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-026-40620-5

Huang, Liqiang; Mills, Rachel; Mandula, Saikiran; Bai, Lin; Jeyhani, Mahtab; Redell, John; Nguyen, Hien; Prasad, Saurabh; Maric, Dragan; Roysam, Badrinath

发表日期：2026

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A Combination of Low Doses of Lithium and Valproate Improves Cognitive Outcomes after Mild Traumatic Brain Injury.

低剂量锂盐和丙戊酸盐联合使用可改善轻度创伤性脑损伤后的认知结果

期刊:Journal of Neurotrauma

影响因子:3.8

doi:10.1089/neu.2024.0311

Redell John B, Maynard Mark E, Hylin Michael J, Hood Kimberly N, Sedlock Andrea, Maric Dragan, Zhao Jing, Moore Anthony N, Roysam Badrinath, Pati Shibani, Dash Pramod K

发表日期：2025

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PostFocus: automated selective post-acquisition high-throughput focus restoration using diffusion model for label-free time-lapse microscopy

PostFocus：一种基于扩散模型的无标记延时显微镜自动化选择性高通量后采集聚焦恢复技术

doi:10.1093/bioinformatics/btae467

Wu, Kwan-Ling; Montalvo, Melisa J; Menon, Prashant S; Roysam, Badrinath; Varadarajan, Navin

发表日期：2024

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Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks

利用深度卷积神经网络实现无标记延时高通量视频显微镜中凋亡小体和细胞的自动检测

doi:10.1093/bioinformatics/btad584

Wu, Kwan-Ling; Martinez-Paniagua, Melisa; Reichel, Kate; Menon, Prashant S; Deo, Shravani; Roysam, Badrinath; Varadarajan, Navin

细胞生物学

发表日期：2023

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Visual Prompting based Incremental Learning for Semantic Segmentation of Multiplex Immuno-Flourescence Microscopy Imagery

基于视觉提示的增量学习用于多重免疫荧光显微镜图像的语义分割

doi:10.21203/rs.3.rs-3783494/v1

Faulkenberry, Ryan; Prasad, Saurabh; Maric, Dragan; Roysam, Badrinath

免疫/内分泌

发表日期：2023

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Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks

利用大规模高通量免疫荧光成像和深度神经网络的全脑组织图谱绘制工具包

期刊:Nature Communications

影响因子:15.7

doi:10.1038/s41467-021-21735-x

Maric, Dragan; Jahanipour, Jahandar; Li, Xiaoyang Rebecca; Singh, Aditi; Mobiny, Aryan; Van Nguyen, Hien; Sedlock, Andrea; Grama, Kedar; Roysam, Badrinath

免疫/内分泌

发表日期：2021

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Artificial intelligence and machine learning in nephropathology

人工智能和机器学习在肾脏病理学中的应用

期刊:Kidney International

影响因子:12.6

doi:10.1016/j.kint.2020.02.027

Becker, Jan U; Mayerich, David; Padmanabhan, Meghana; Barratt, Jonathan; Ernst, Angela; Boor, Peter; Cicalese, Pietro A; Mohan, Chandra; Nguyen, Hien V; Roysam, Badrinath

发表日期：2020

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Defining potency of CAR(+) T cells: Fast and furious or slow and steady

CAR(+) T细胞效力的定义：快速而猛烈，还是缓慢而稳定

期刊:Oncoimmunology

影响因子:6.3

doi:10.1080/2162402X.2015.1051298

Liadi, Ivan; Singh, Harjeet; Romain, Gabrielle; Roysam, Badrinath; Cooper, Laurence Jn; Varadarajan, Navin

细胞生物学

免疫/内分泌

发表日期：2019

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TIMING 2.0: high-throughput single-cell profiling of dynamic cell-cell interactions by time-lapse imaging microscopy in nanowell grids

TIMINING 2.0：利用纳米孔网格中的延时成像显微镜对动态细胞间相互作用进行高通量单细胞分析

doi:10.1093/bioinformatics/bty676

Lu, Hengyang; Li, Jiabing; Martinez-Paniagua, Melisa A; Bandey, Irfan N; Amritkar, Amit; Singh, Harjeet; Mayerich, David; Varadarajan, Navin; Roysam, Badrinath

细胞生物学

发表日期：2019

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