BSSE: An open-source image processing tool for miniaturized microscopy.
BSSE: An open-source image processing tool for miniaturized microscopy.
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DOI：
10.1364/oe.27.017620
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发表时间：
2019-06
期刊：
影响因子：
3.8
通讯作者：
Jeonghwan Son;B. Mandracchia;Michael D. Caponegro;S. Tsirka;Shu Jia
中科院分区：
文献类型：
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作者：
Jeonghwan Son;B. Mandracchia;Michael D. Caponegro;S. Tsirka;Shu Jia
基于单光子激发的小型化显微镜，或迷你镜，最近成为一个强大的工具，成像神经合奏活动在自由移动的动物。与此同时，这种高度灵活和可植入的技术为研究广泛的细胞、组织和器官提供了巨大的潜力。然而，迄今为止，应用在很大程度上受到成像模态的性质的限制。因此，非常需要一种通常适用于处理微型图像的方法，使应用能够并扩展到不同的解剖和功能特征，跨越大脑和其他器官中的各种细胞类型。我们报告的图像处理方法，称为BSSE，背景抑制和信号增强的微型显微镜图像处理。BSSE方法提供了一个简单的，自动的解决方案，重叠的信号，高背景和伪影在微型图像的内在挑战。我们通过对合成结构和脑、肿瘤和肾组织的各种生物样品进行成像来验证该方法。这项工作代表了一个普遍适用的工具，微型技术，建议更广泛的应用小型化，可植入和灵活的技术，生物医学研究。
Single-photon-excitation-based miniaturized microscope, or miniscope, has recently emerged as a powerful tool for imaging neural ensemble activities in freely moving animals. In the meanwhile, this highly flexible and implantable technology promises great potential for studying a broad range of cells, tissues and organs. To date, however, applications have been largely limited by the properties of the imaging modality. It is therefore highly desirable for a method generally applicable for processing miniscopy images, enabling and extending the applications to diverse anatomical and functional traits, spanning various cell types in the brain and other organs. We report an image processing approach, termed BSSE, for background suppression and signal enhancement for miniscope image processing. The BSSE method provides a simple, automatic solution to the intrinsic challenges of overlapping signals, high background and artifacts in miniscopy images. We validated the method by imaging synthetic structures and various biological samples of brain, tumor, and kidney tissues. The work represents a generally applicable tool for miniscopy technology, suggesting broader applications of the miniaturized, implantable and flexible technology for biomedical research.