Heydt M, Divós P, Grunze M, Rosenhahn A
Applied Physical Chemistry, University of Heidelberg, INF 253, 69120 Heidelberg, Germany.
Eur Phys J E Soft Matter. 2009 Oct;30(2):141-8. doi: 10.1140/epje/i2009-10459-9.
In this article we describe the technical aspects of digital in-line holographic microscopy to track multiple macrofouling Ulva linza zoospores simultaneously during their exploration of surfaces. Using an effective method of artefact suppression at the edges of holograms in combination with projection of volume reconstructions, a fast algorithm was developed which allows a reliable determination of a large number of subsequent spore positions. Thus, statistical analysis of swimming behaviour in the vicinity of surfaces becomes possible. Using glass surfaces as example, velocity and diving direction distributions are calculated and the swimming behaviour is statistically analysed. Diving direction analysis provides a straightforward way to determine segments within traces with surface contact. The presented method of data analysis allows high throughput analysis of holographic microscopy data and sets the basis for different applications including biofouling.
在本文中，我们描述了数字 inline 全息显微镜的技术方面，以在多个大型污损石莼游动孢子探索表面的过程中同时对其进行跟踪。结合使用一种有效的全息图边缘伪像抑制方法和体积重建投影，开发了一种快速算法，该算法能够可靠地确定大量后续的孢子位置。因此，对表面附近游动行为进行统计分析成为可能。以玻璃表面为例，计算了速度和潜水方向分布，并对游动行为进行了统计分析。潜水方向分析提供了一种直接的方法来确定与表面接触的轨迹内的片段。所提出的数据分析方法允许对全息显微镜数据进行高通量分析，并为包括生物污损在内的不同应用奠定了基础。
