Volume EM and AI Image Analysis
The article outlines a detailed workflow for studying biological tissues in three dimensions using volume-scanning electron microscopy (volume-SEM) combined with AI-assisted image analysis. The focus…
A Novel Laser-Based Method for Studying Optic Nerve Regeneration
Optic nerve regeneration is a major challenge in neurobiology due to the limited self-repair capacity of the mammalian central nervous system (CNS) and the inconsistency of traditional injury models.…
Capturing Developmental Dynamics in 3D
This application note showcases how the Viventis Deep dual-view light sheet microscope was successfully used by researchers for exploring high-resolution, long-term imaging of 3D multicellular models…
How to Image Axon Regeneration in Deep Muscle Tissue
This study highlights Dr. Aaron Lee’s research on mapping nerve regeneration in muscle grafts post-amputation. Limb loss often leads to reduced quality of life, not only from tissue loss but also due…
多重成像揭示结肠癌的肿瘤免疫格局
由于抗药性和复发,癌症免疫疗法获益者寥寥无几,而针对癌症免疫周期多个步骤的组合治疗策略可能会改善治疗效果。这项研究表明,高通量空间蛋白质组学可用于识别细胞生物标志物之间的相互作用,并通过绘制肿瘤免疫微环境图来指导精准的组合疗法。
人工智能驱动的乳腺癌研究多重染色成像空间分析工具
乳腺癌(BC)是女性因癌症死亡的主要原因,研究查肿瘤微环境(TME)对于阐明肿瘤进展机制至关重要。利用超多标染色空间蛋白质组学技术系统地绘制肿瘤微环境图谱可以提高精准免疫肿瘤学的能力。在这里,我们将基于人工智能的高倍空间分析应用于BC组织,研究免疫细胞类型和生物标记物,从而深入了解受免疫疗法反应的TME分子机制。
Improving Zebrafish-Embryo Screening with Fast, High-Contrast Imaging
Discover from this article how screening of transgenic zebrafish embryos is boosted with high-speed, high-contrast imaging using the DM6 B microscope, ensuring accurate targeting for developmental…
超薄切片树脂内荧光技术方案
电子显微镜,包括透射电子显微镜 (TEM) 和扫描电子显微镜 (SEM),被广泛应用于获取生物样本或非生物材料的精细结构信息。超薄切片技术是制备厚度小于100纳米的超薄切片的首选方法,适用于透射电镜/扫描电镜分析。样品制备过程中,微小样本块被包埋于环氧或丙烯酸树脂中,去除多余树脂后,使用玻璃刀或金刚石刀将标本切成超薄切片 (50 nm - 100 nm)。
利用人工智能驱动的空间蛋白质组学绘制肿瘤免疫图谱
未经治疗肿瘤的空间图谱分析可呈现肿瘤免疫结构的整体特征,有助于理解治疗反应。具有免疫活性的小鼠模型对于识别肿瘤发生发展过程中免疫依赖性事件至关重要。要表征这些具有完整免疫系统及相互作用细胞组分的模型,需要采用多重标记分析技术。我们展示了一种基于人工智能的空间蛋白质组学方法,用于研究小鼠癌组织中的肿瘤-免疫互作机制。