Servera-Vives Gabriel, Ricucci Cristina, Snitker Grant
ArqueoUIB, Department of Historical Sciences and Theory of Art, University of the Balearic Islands, Carretera de Valldemossa Km 7,5, CP07122 Palma, Mallorca, Spain.
Laboratory of Palynology and Palaeobotany, Department of Life Sciences, Università degli Studi di Modena e Reggio Emilia, Modena, Italy.
Open Res Eur. 2024 Mar 11;3:29. doi: 10.12688/openreseurope.15309.2. eCollection 2023.
In this paper we present OLEAtool, a new software tool for palynological research to facilitate morphological analysis and measurements of pollen. OLEAtool is a macro extension for use with ImageJ, an open-access and freely available image analysis software, and was developed as a component of the OLEA-project. This larger project examines olive tree expansion and mosaic landscape formation on the Balearic Islands. Pollen analysis of both fossil and modern grains has been proven useful for characterizing cultivars and therefore an important method for studying olive tree cultivation in the Mediterranean. However, these methods still struggle with distinguishing between wild and cultivated varieties. Traditional morphological analysis of pollen grains can be a difficult and time-consuming task. However, OLEAtool dramatically increases the speed of collecting data on pollen grains, expands the number of variables an analyst can measure, and greatly enhances the replicability of morphological analysis.
在本文中，我们介绍了OLEAtool，这是一种用于孢粉学研究的新软件工具，可促进花粉的形态分析和测量。OLEAtool是一个与ImageJ（一款开放获取且免费的图像分析软件）配合使用的宏扩展，它是作为OLEA项目的一个组件开发的。这个更大的项目研究了巴利阿里群岛上橄榄树的扩张和镶嵌景观的形成。对化石和现代花粉粒的分析已被证明有助于鉴定品种，因此是研究地中海地区橄榄树种植的重要方法。然而，这些方法在区分野生和栽培品种方面仍存在困难。传统的花粉粒形态分析可能是一项艰巨且耗时的任务。然而，OLEAtool极大地提高了收集花粉粒数据的速度，扩展了分析人员可以测量的变量数量，并大大增强了形态分析的可重复性。
