Automatic slide scanning microscope for brightfield and fluorescence microscopy
Automatic slide scanning microscope for brightfield and fluorescence microscopy
批准号:
430077019
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Major Research Instrumentation
财政年份:
2019
资助国家:
德国
项目状态:
未结题
起止时间:
2018-12-31 至 --
中文摘要
蛋白质及其在干细胞中的分布最好用荧光显微镜来确定。有了这个半自动显微镜系统,它将有可能产生高质量的免疫荧光图像的干细胞和骨髓切片在一个“中通量”的程序。该系统还允许在“中通量”程序中记录解剖切片。也可以使用这种中等通量方法来筛选干细胞中大量新蛋白质的分布。由于该设备的全自动操作,这种新系统也是新颖的,超越了对不同蛋白质共分布的最新研究和分析稀有干细胞中蛋白质复杂和多重共定位的新筛选。此外,减少在显微镜前花费的时间也是所有实验室成员简单工作场所人体工程学的一个重要特征。固定的细胞用系统作为整个载玻片扫描,并用具有扫描像素分辨率的多通道荧光Z-堆叠扫描。所有通道均以真实的灰度分辨率记录。根据先前开发的扫描配置文件,图像是完全自动和可再现的。扫描数据直接传输到NAS存储。扫描数据的评估在两个工作站上通过全自动分析自动和交互地进行,通过定制调整/开发的软件称为“细胞分类器”。
英文摘要
Proteins and their distribution in stem cells can best be determined with fluorescence microscopy. With this semi-automatic microscopy system it will be possible to produce high-quality immunofluorescence images of stem cells and bone marrow sections in a "mid-throughput" procedure. The system also allows the recording of anatomical sections in the "mid-throughput" procedure. Screening for the distribution of a large number of new proteins in stem cells can also be carried out using such a mid-throughput methods. With such a new system also novel, beyond the state-of-the-art investigations on co-distributions of different proteins and new screens to analyze complex and multiple co-localizations of proteins in rare stem cells are possible due to the fully automatic operation of the device. Furthermore, simply a reduction in the time necessary to spend in front of a microscope is also an important feature with respect to simple workplace ergonomics for all lab members. Fixed cells are scanned with the system as whole slides and with multichannel fluorescence Z-stacks with a scanning pixel resolution. All channels are recorded with a real gray scale resolution. The images are fully automatic and reproducible according to previously developed scan profiles. The scan data is transferred directly to workgroup storage (NAS). The evaluation of the scan data takes place both automatically and interactively on two workstations via fully automatic analyses by means of a custom-adjusted/developed software termed "Cell-Categorizer".
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