生命科学研究

在生命科学研究中心，您可以掌握最新的关于先进显微镜、成像技术、电镜样品制备和图像分析的前沿应用和创新，涵盖的主题包括细胞生物学、神经科学和癌症研究。希望在这里可以帮助您提升研究能力和精进显微镜在各个科学领域实际应用，并了解徕卡如何通过精确的可视化、图像解读和推进研究进展来赋能您的工作。

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.

Designing the Future with Novel and Scalable Stem Cell Culture

Visionary biotech start-up Uncommon Bio is tackling one of the world’s biggest health challenges: food sustainability. In this webinar, Stem Cell Scientist Samuel East shows how they make stem cell…

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).

Explore Alzheimer's Spatial Proteome with Big Data

Alzheimer's disease, a genetic and sporadic neurodegenerative condition, leads to cognitive decline in mid to late life, marked by β-amyloid plaques and tau tangles. With limited treatment options,…

[Translate to chinese:] Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

Dive into Pancreatic Cancer Research with Big Data

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),…

[Translate to chinese:] Colon adenocarcinoma and normal colon at the tumor margin. 13 biomarkers shown including Cadherin, CD3, CD4, CD8, CD20, CD31, CD45, Collagen, Caspase 9, BCL2, Beta-Catenin, Vimentin, and Smooth Muscle Actin.

Uncover the Hidden Complexity of Colon Cancer with Big Data

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…

[Translate to chinese:] Digital microscopy simplifies documenting cell-culture results electronically while following 21 CFR part 11 guidelines for biopharma.

Introduction to 21 CFR Part 11 for Electronic Records of Cell Culture

This article provides an introduction to the recommendations of 21 CFR Part 11 from the FDA, specifically focusing on the audit trail and user management in the context of cell-culture laboratories.…

Cell DIVE multiplexed image of FFPE tissue section from syngeneic murine cancer model, 4T1.

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…

[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.

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…

[Translate to chinese:] Pancreatic Ductal Adenocarcinoma imaged with Cell DIVE. Analysis done by Aivia.

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…

[Translate to chinese:] Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue

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。