Amorim João, Fernandes Miguel, Vasconcelos Vitor, Oliva Teles Luis
Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre (s/n), Porto, 4169-007, Portugal.
CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Rua dos Bragas n° 289, Porto, 4050-123, Portugal.
Ecotoxicology. 2017 Jan;26(1):13-21. doi: 10.1007/s10646-016-1736-5. Epub 2016 Oct 7.
The aim of this work was to develop a novel methodology to stress test the diagnostic capability of a video tracking system with zebrafish (Danio rerio), against two pre-established disturbances. Eight different treatments were tested varying the presence or absence of a toxicant (NaOCl) and two disturbances: the passing of a shadow (mimicking a predator) and entrapment of the fish. The concentration tested corresponded to a sublethal (1 % 24 h-LC) and short term exposure (2 h). A total of 56 organisms were tested resulting in 112 diagnoses (before and after the contamination). A statistical model of diagnosis was developed using Self-organizing Map (SOM) and Correspondence Analysis (CA). Sensitivity, specificity, accuracy, false positive and false negative values were calculated to evaluate the diagnostic performance. The disturbances did not negatively affect the capability of the model. In the presence of at least one of these variables, the diagnostic performance was similar or even superior to the baseline results without disturbances. Furthermore, the system produced a large number of correct diagnoses, at an ecologically relevant concentration of exposure, in a non-invasive way.
这项工作的目的是开发一种新颖的方法，以针对两种预先设定的干扰对斑马鱼（Danio rerio）视频跟踪系统的诊断能力进行压力测试。测试了八种不同的处理方法，改变了有毒物质（次氯酸钠）的存在与否以及两种干扰：阴影通过（模拟捕食者）和鱼的被困。测试的浓度对应于亚致死浓度（1% 24小时半数致死浓度）和短期暴露（2小时）。总共测试了56个生物体，产生了112次诊断（污染前后）。使用自组织映射（SOM）和对应分析（CA）建立了诊断统计模型。计算了灵敏度、特异性、准确性、假阳性和假阴性值以评估诊断性能。这些干扰并未对模型的能力产生负面影响。在至少存在其中一个变量的情况下，诊断性能与无干扰的基线结果相似甚至更优。此外，该系统以非侵入性方式在生态相关的暴露浓度下产生了大量正确的诊断。
