日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Integration of spatial protein imaging and transcriptomics in the human kidney tracks the regenerative potential of proximal tubules

将空间蛋白质成像和转录组学相结合，可以追踪人类肾脏近端小管的再生潜能。

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.adv8918
Asghari, Mahla; Sabo, Angela R; Barwinska, Daria; Melo Ferreira, Ricardo; Ferkowicz, Michael J; Bowen, William S; Cheng, Ying-Hua; Gisch, Debora L; Gulbronson, Connor; Phillips, Carrie L; Kelly, Katherine J; Sutton, Timothy A; Williams, James C; Vazquez, Miguel; O'Toole, John; Palevsky, Paul; Rosas, Sylvia E; Waikar, Sushrut S; Kiryluk, Krzysztof; Parikh, Chirag; Hodgin, Jeffrey B; Sarder, Pinaki; De Boer, Ian H; Himmelfarb, Jonathan; Kretzler, Matthias; Jain, Sanjay; Eadon, Michael T; Winfree, Seth; El-Achkar, Tarek M; Dagher, Pierre C
发表日期：2025
文献求助 收藏

Distributed and networked analysis of volumetric image data for remote collaboration of microscopy image analysis

用于远程协作的显微图像分析的体积图像数据分布式网络分析

期刊:Journal of Medical Imaging
影响因子:1.7
doi:10.1117/1.JMI.12.2.024001
Chen, Alain; Han, Shuo; Lee, Soonam; Fu, Chichen; Yang, Changye; Wu, Liming; Winfree, Seth; Dunn, Kenneth W; Salama, Paul; Delp, Edward J
发表日期：2025
文献求助 收藏

Sulfotransferase 1C2 Increases Mitochondrial Respiration by Converting Mitochondrial Membrane Cholesterol to Cholesterol Sulfate.

磺基转移酶 1C2 通过将线粒体膜胆固醇转化为硫酸胆固醇来增强线粒体呼吸作用

期刊:Biochemistry
影响因子:3
doi:10.1021/acs.biochem.3c00344
Kolb Alexander J, Corridon Peter, Ullah Mahbub, Pfaffenberger Zechariah J, Xu Wei Min, Winfree Seth, Sandoval Ruben H, Hato Takeshi, Witzmann Frank A, Mohallem Rodrigo, Franco Jackeline, Aryal Uma K, Atkinson Simon J, Basile David P, Bacallao Robert L
其它
线粒体
发表日期：2024
文献求助 收藏

NISNet3D: three-dimensional nuclear synthesis and instance segmentation for fluorescence microscopy images

NISNet3D：用于荧光显微镜图像的三维核合成和实例分割

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-36243-9
Wu, Liming; Chen, Alain; Salama, Paul; Winfree, Seth; Dunn, Kenneth W; Delp, Edward J
3D/类器官
IF
发表日期：2023
文献求助 收藏

Tissue Cytometry With Machine Learning in Kidney: From Small Specimens to Big Data

肾脏组织细胞计量学与机器学习：从小样本到大数据

期刊:Frontiers in Physiology
影响因子:3.4
doi:10.3389/fphys.2022.832457
El-Achkar, Tarek M; Winfree, Seth; Talukder, Niloy; Barwinska, Daria; Ferkowicz, Michael J; Al Hasan, Mohammad
细胞生物学
发表日期：2022
文献求助 收藏

Profiling Immune Cells in the Kidney Using Tissue Cytometry and Machine Learning

利用组织细胞计量学和机器学习技术分析肾脏中的免疫细胞

期刊:Kidney360
影响因子:3
doi:10.34067/KID.0006802020
Winfree, Seth; Al Hasan, Mohammad; El-Achkar, Tarek M
细胞生物学
免疫/内分泌
发表日期：2022
文献求助 收藏

Label-free imaging of non-deparaffinized sections of the human kidney to determine tissue quality and signatures of disease

利用无标记成像技术对未脱蜡的人肾脏切片进行成像，以确定组织质量和疾病特征。

期刊:Physiological Reports
影响因子:1.9
doi:10.14814/phy2.15167
Sabo, Angela R; Winfree, Seth; Bledsoe, Sharon B; Phillips, Carrie L; Lingeman, James E; Eadon, Michael T; Williams, James C Jr; El-Achkar, Tarek M
发表日期：2022
文献求助 收藏

Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors

利用机器学习分析高通量免疫荧光数据，可以识别原发性胰腺肿瘤中不同的肿瘤细胞和基质细胞群。

期刊:Cancer Biomarkers
影响因子:1.9
doi:10.3233/CBM-210308
Vance, Krysten; Alitinok, Alphan; Winfree, Seth; Jensen-Smith, Heather; Swanson, Benjamin J; Grandgenett, Paul M; Klute, Kelsey A; Crichton, Daniel J; Hollingsworth, Michael A
肿瘤
IF
肿瘤免疫
基质细胞
细胞生物学
肿瘤细胞
免疫/内分泌
发表日期：2022
文献求助 收藏

Erratum to: Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors

更正：机器学习分析高通量免疫荧光可识别原发性胰腺肿瘤中不同的肿瘤细胞和基质细胞群

期刊:Cancer Biomarkers
影响因子:1.9
doi:10.3233/CBM-220901
Vance, Krysten; Alitinok, Alphan; Winfree, Seth; Jensen-Smith, Heather; Swanson, Benjamin J; Grandgenett, Paul M; Klute, Kelsey A; Crichton, Daniel J; Hollingsworth, Michael A
肿瘤
IF
肿瘤免疫
基质细胞
细胞生物学
肿瘤细胞
免疫/内分泌
发表日期：2022
文献求助 收藏

A multimodal and integrated approach to interrogate human kidney biopsies with rigor and reproducibility: guidelines from the Kidney Precision Medicine Project

采用多模式和综合方法，以严谨性和可重复性的方式分析人类肾脏活检样本：肾脏精准医学项目指南

期刊:Physiological Genomics
影响因子:2.5
doi:10.1152/physiolgenomics.00104.2020
El-Achkar, Tarek M; Eadon, Michael T; Menon, Rajasree; Lake, Blue B; Sigdel, Tara K; Alexandrov, Theodore; Parikh, Samir; Zhang, Guanshi; Dobi, Dejan; Dunn, Kenneth W; Otto, Edgar A; Anderton, Christopher R; Carson, Jonas M; Luo, Jinghui; Park, Chris; Hamidi, Habib; Zhou, Jian; Hoover, Paul; Schroeder, Andrew; Joanes, Marianinha; Azeloglu, Evren U; Sealfon, Rachel; Winfree, Seth; Steck, Becky; He, Yongqun; D'Agati, Vivette; Iyengar, Ravi; Troyanskaya, Olga G; Barisoni, Laura; Gaut, Joseph; Zhang, Kun; Laszik, Zoltan; Rovin, Brad H; Dagher, Pierre C; Sharma, Kumar; Sarwal, Minnie M; Hodgin, Jeffrey B; Alpers, Charles E; Kretzler, Matthias; Jain, Sanjay
发表日期：2021
文献求助 收藏