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
Dive into Pancreatic Cancer Research with the Big Data Viewer
Pancreatic cancer, with a mortality rate near 40%, is challenging to treat due to its proximity to major organs. This story explores the complex biology of pancreatic ductal adenocarcinoma (PDAC),…
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
Uncover the Hidden Complexity of Colon Cancer with the Big Data Viewer
Colorectal cancer poses a significant health burden. While surgery is effective initially, some patients develop recurrent secondary disease with poor prognosis, necessitating advanced therapies like…
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
Mapping Tumor Immune Landscape with AI-Powered Spatial Proteomics
Spatial mapping of untreated tumors provides an overview of the tumor immune architecture, useful for understanding therapeutic responses. Immunocompetent murine models are essential for identifying…
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![[Translate to chinese:] Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s brain tissue section demonstrating expression of markers specific to astrocytes , microglia , AD-associated markers and immune cells clustered around the β-amyloid plaques [Translate to chinese:] Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s brain tissue section demonstrating expression of markers specific to astrocytes (GFAP, S100B), microglia (TMEM119, IBA1), AD-associated markers (p-Tau217, β-amyloid) and immune cells such as CD11b+, CD163+, CD4+, and HLA-DRA+, clustered around the β-amyloid plaques.](/fileadmin/_processed_/b/b/csm_Alzheimers_brain_tissue_section_showing_astrocytes_microglia_immune_cells_6f24036a9f.jpg)
Spatial Analysis of Neuroimmune Interactions in Alzheimer’s Disease
Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neurofibrillary tangles, β-amyloid plaques, and neuroinflammation. These dysfunctions trigger or are exacerbated by…
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
A Guide to Spatial Biology
What is spatial biology, and how can researchers leverage its tools to meet the growing demands of biological questions in the post-omics era? This article provides a brief overview of spatial biology…
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![[Translate to chinese:] Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue [Translate to chinese:] Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue](/fileadmin/_processed_/7/2/csm_Human_Alzheimers_Cortical_Tissue_Multiplexed_Cell_DIVE_imaging_e4cf382069.jpg)
使用空间多重化探测人类阿尔茨海默病皮层切片
阿尔茨海默病(AD)是最常见的神经退行性疾病,其特征是认知功能的逐渐下降。对 AD 大脑的空间分析可能揭示细胞关系,从而促进对疾病病因的更好理解。本研究捕捉了 AD 皮层组织成分的全球概述,并强调了 Cell DIVE 成像的简化工作流程,从数据采集到使用 Aivia 软件的基于人工智能的分析,最终实现更快的洞察。
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
Cell DIVE开放式超多重免疫荧光成像如何赋能空间生物学
空间生物学和多重成像工作流程在免疫肿瘤学研究中变得越来越重要。许多研究人员即使使用有效的工具和方案,也很难提高研究效率。我们将介绍研究人员如何利用开放式超多重免疫荧光的适应性,将 IBEX 成像与Cell DIVE 相结合,创造了一种名为 Cell DIVE-IBEX 的技术。它让这些研究人员能够调整现有的技术和试剂,并获得Cell DIVE 在其免疫肿瘤学研究中的可扩展性。
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![[Translate to chinese:] Multiplexed Cell DIVE imaging of selected clusters and unique cell populations identified in mucinous cystadenocarcinoma of the ovary.](/fileadmin/_processed_/8/6/csm_Cell_populations_identified_in_mucinous_cystadenocarcinoma_of_ovary_ed069f752d.jpg)
肿瘤空间微环境的元癌症分析
研究 TME中肿瘤、基质和免疫细胞之间的相互作用需要采用超多重免疫荧光成像方法。在这里,我们分析了一组Cell Signaling Technology(CST®)抗体,这些抗体针对肺癌、结肠癌和胰腺癌等癌症的标志物。通过Cell DIVE成像和Aivia中的聚类分析,我们确定了TME中的空间相互作用,包括组织特异性和共有的相互作用。