Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
This work provides a solution for researchers and practitioners in environmental science and toxicology to overcome the bottleneck of manual data annotation for automated nanoparticle analysis, enabling more efficient risk assessment.
This paper addresses the challenge of limited annotated training data for deep learning-based nanoparticle segmentation by proposing a method to generate realistic, synthetic training data using rendering software. The authors demonstrate that a deep neural network trained on this synthetic data achieves segmentation accuracy comparable to human annotations for metal-oxide nanoparticle ensembles.
Nanoparticles occur in various environments as a consequence of man-made processes, which raises concerns about their impact on the environment and human health. To allow for proper risk assessment, a precise and statistically relevant analysis of particle characteristics (such as e.g. size, shape and composition) is required that would greatly benefit from automated image analysis procedures. While deep learning shows impressive results in object detection tasks, its applicability is limited by the amount of representative, experimentally collected and manually annotated training data. Here, we present an elegant, flexible and versatile method to bypass this costly and tedious data acquisition process. We show that using a rendering software allows to generate realistic, synthetic training data to train a state-of-the art deep neural network. Using this approach, we derive a segmentation accuracy that is comparable to man-made annotations for toxicologically relevant metal-oxide nanoparticle ensembles which we chose as examples. Our study paves the way towards the use of deep learning for automated, high-throughput particle detection in a variety of imaging techniques such as microscopies and spectroscopies, for a wide variety of studies and applications, including the detection of plastic micro- and nanoparticles.