医疗

医疗

医疗

探索专为神经外科、眼科、整形外科、耳鼻喉科和牙科 HCP 量身定制的科学和临床综合资源,包括行业洞见、临床案例研究和专题研讨会。重点突出手术显微镜的最新进展,让您了解AR荧光、三维可视化和术中OCT成像等尖端技术如何赋能复杂手术决策的信心和精准操作。

Integrated Serial Sectioning and Cryo-EM Workflows for 3D Biological Imaging

This on-demand webinar explores how integrated tools can support electron microscopy workflows from sample preparation to image analysis. Experts Andreia Pinto, Adrian Boey, and Hoyin Lai present the…
Cell DIVE multiplexed image of FFPE tissue section from human colon adenocarcinoma tissue.

Multiplexed Imaging Reveals Tumor Immune Landscape in Colon Cancer

Cancer immunotherapy benefits few due to resistance and relapse, and combinatorial therapeutic strategies that target multiple steps of the cancer-immunity cycle may improve outcomes. This study shows…
Cell DIVE multiplexed image of FFPE tissue section from human invasive ductal carcinoma (IDC)

AI-Powered Hi-Plex Spatial Analysis Tools for Breast Cancer Research

Breast cancer (BC) is the leading cause of cancer-related deaths in women. Investigating the tumor microenvironment (TME) is crucial to elucidate the mechanisms of tumor progression. Systematic…
3D high-plex imaging in cancer immunology. Overview of a pancreatic tumor section in mouse model, labeled with 15 markers and imaged in one go using STELLARIS with SpectraPlex. (https://www.nature.com/articles/d42473-024-00260-7)

How to Streamline High-Plex Imaging for 3D Spatial Omics Advances

In this webinar, Dr. Julia Roberti and Dr. Luis Alvarez from Leica Microsystems introduce SpectraPlex, a new functionality integrated into the STELLARIS confocal platform for high-plex 3D spatial…
Pancreatic Ductal Adenocarcinoma with 11 Apoptosis biomarkers shown – BAK, BAX, BCL2, BCLXL, Caspase9, CIAP1, NaKATPase, PCK26, SMAC, Vimentin, and XIAP.

Transforming Research with Spatial Proteomics Workflows

Spatial Proteomics, Nature Methods 2024 Method of the Year, is driving research advancements in cancer, immunology, and beyond. By combining positional data with high throughput imaging of proteins in…
Large volume computational clearing processed Thunder image of human pancreatic islet organoid. Cells segmented using Segment By Example tool, automatically phenotyped, and color-coded based on phenotypes in Aivia. Image courtesy of the Matthias von Herrath Lab, La Jolla Institute of Immunology, La Jolla, CA.

利用人工智能图像分析工具更快、更轻松地获得洞察力

了解 Aivia 如何通过快速设置、准确的人工智能检测和简便的批量处理功能,帮助科学家简化图像分析。
Transfection using the Uncommon Bio reprogramming system. Image acquired using the THUNDER Imager 3D Cell Culture with THUNDER Large Volume Computational Clearing (LVCC) applied. Image courtesy of Samuel East, Uncommon Bio.

利用新型可扩展的干细胞培养设计未来

具有远见卓识的生物技术初创企业 Uncommon Bio 正在应对世界上最大的健康挑战之一:食品可持续性。在这次网络研讨会上,干细胞科学家塞缪尔-伊斯特(Samuel East)将展示他们如何使细胞农业的干细胞培养基既安全又经济可行。了解他们如何将培养基成本降低 1000 倍,并开发出不含动物成分、食品安全的 iPSC 培养基。
Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s Brain Tissue labelled with 15 antibodies targeted towards markers specific to astrocytes (GFAP, S100B), microglia (TMEM119, IBA1), and Alzheimer’s-associated markers (β-amyloid and p-Tau217).

利用大数据探索阿尔茨海默病的空间蛋白组

阿尔茨海默病是一种遗传性和散发性的神经退行性疾病,导致中晚年认知能力下降,特征为β-淀粉样蛋白斑块和 tau蛋白 缠结。由于治疗选择有限,新的研究策略至关重要。Cell DIVE 多重成像解决方案可以对阿尔茨海默病脑组织进行研究,揭示,可能新的研究方向。这里我们展示了 Cell DIVE 多重成像仪的图像查看器,用户能够直接在自己的浏览器中访问完整的阿尔茨海默病多重数据集。
Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

用大数据视角深入了解胰腺癌研究

胰腺癌由于其靠近主要器官难以分辨和难治疗,死亡率接近 40%,。这个研究探讨了胰腺导管腺癌(PDAC)的复杂生物学机制,研究了代谢、凋亡和免疫中肿瘤侵袭性的相关分子结构和空间决定因素。可以访问您的浏览器中的完整 Cell DIVE 数据集,以深入了解这些发现。
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