创建显微镜分析工作流程并排除故障:常见挑战和常见解决方案

Beth A Cimini
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引用次数: 0

摘要

随着显微技术的多样化和日益复杂化,显微图像的量化问题已成为许多研究人员的主要障碍。在将显微图像转化为答案的过程中,所有研究人员都必须面对一定的挑战,这与他们的科学问题和所生成的图像无关。挑战可能出现在整个分析过程的许多阶段,包括处理图像文件、图像预处理、目标查找或测量以及统计分析。虽然每个障碍所需的确切解决方案都会因问题而异,但通过了解工具和折衷方案、优化数据质量、将工作流程和数据集分成若干小块、与专家交流以及彻底记录所做的工作,任何经验水平的分析师都能学会克服这些挑战,并创建更好、更简单的图像分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating and troubleshooting microscopy analysis workflows: common challenges and common solutions
As microscopy diversifies and becomes ever-more complex, the problem of quantification of microscopy images has emerged as a major roadblock for many researchers. All researchers must face certain challenges in turning microscopy images into answers, independent of their scientific question and the images they've generated. Challenges may arise at many stages throughout the analysis process, including handling of the image files, image pre-processing, object finding, or measurement, and statistical analysis. While the exact solution required for each obstacle will be problem-specific, by understanding tools and tradeoffs, optimizing data quality, breaking workflows and data sets into chunks, talking to experts, and thoroughly documenting what has been done, analysts at any experience level can learn to overcome these challenges and create better and easier image analyses.
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