Biological Imaging Module

视觉研究中心核心助学金的生物成像模块提供了 艺术成像设施，以支持和推动研究人员的创新研究 休斯顿大学。该模块提供各种最新的成像设备，用于 由核心调查人员及其合作者以及新聘用的调查人员使用，他们拥有 对视觉研究的结构、细胞和分子方面感兴趣。具体地说，模块 提供组织准备、标准光学显微镜、共聚焦显微镜、 去卷积荧光显微镜、双光子显微镜、光片显微镜、活细胞 成像、透射电子显微镜、扫描电子显微镜和系列 块脸(SBF-SEM)成像、计算机辅助图像分割和3D重建， 视网膜和角膜断层扫描和光谱域-光学相干断层扫描 (SD-OCT)用于小动物的活体成像。该单元由两名技术娴熟的人员组成 人员：一名专家显微镜专家/组织学技术专家和一名熟练的生物物理学专家 在高级光学显微镜的许多方面都有专业知识的显微镜专家。这些人 协调使用，协助组织学/显微镜检查，并提供全方位的培训 从基础技术到高级技术。生物成像模块由尼梅什·B·帕特尔监督， OD，博士，拥有两项由NEI资助的有效R01拨款，在光和电子方面拥有丰富的专业知识 显微镜、活体OCT成像和计算机辅助图像分析。

The Biological Imaging Module of the Center Core Grant for Vision Research provides state of the art imaging facilities to support and advance innovative research by investigators at the University of Houston. The Module provides a wide range of up-to-date imaging equipment for use by Core investigators and their collaborators, and newly hired investigators, who have interests in structural, cellular, and molecular aspects of vision research. Specifically, the Module provides facilities for tissue preparation, standard light microscopy, confocal microscopy, deconvolution fluorescence microscopy, two-photon microscopy, light sheet microscopy, live cell imaging, transmission electron microscopy (TEM), scanning electron microscopy SEM and serial block-face (SBF-SEM) imaging, computer-assisted image segmentation and 3D reconstruction, and Retinal and Corneal Tomography and Spectral Domain – Optical Coherence Tomography (SD-OCT) for in vivo imaging of small animals. The Module is staffed by two a highly skilled personnel: an expert microscopist/histology technologist and an accomplished biophysical microscopist with expertise in many aspects of advanced light microscopy. These individuals coordinate use, assist with histology/microscopy and provide a full range of training that spans basic to advanced techniques. The Biological Imaging Module is supervised by Nimesh B. Patel, OD, PhD who has two active R01 grants funded by NEI, substantial expertise in light and electron microscopy, and in vivo OCT imaging and computer-assisted image analyses.