Automatic analysis of microscopy images using the DLgram01 cloud service
A.V. Matveev1, M.Y. Mashukov1, A.V. Nartova1,2, N.N. Sankova2,1, A.G. Okunev1,2
1 Novosibirsk State University
2 Boreskov Institute of Catalysis SB RAS
Abstract: The study of materials by microscopy often includes counting the number of observed objects and determining their statistical parameters, for which it is necessary to measure hundreds of objects. The created DLgram01 cloud service allows specialists in the field of materials science who do not have programming skills to perform automated image processing – to determine the number and parameters (area, size) of the objects under study. The service is developed using the latest achievements in the field of deep machine learning. To train a neural network, the user needs to label only several objects. The neural network is trained automatically in a few minutes. Important features of the DLgram01 service are the ability to adjust the results of neural network prediction, as well as obtaining detailed information about all recognized objects. Using the service allows to significantly decrease the time for quantitative image analysis, reduce the influence of the subjective factor, increase the accuracy of the analysis and its ergo-intensity.
Keywords: microscopy, recognition, nanoparticles, deep neural networks, artificial intelligence
- Andrey V. Matveev – Ph. D., Head of the Laboratory of Deep Machine Learning in Physical Methods, Novosibirsk State University
- Mikhail Y. Mashukov – Senior Researcher, Laboratory of Deep Machine Learning in Physical Methods, Novosibirsk State University
- Anna V. Nartova – Ph. D., Docent, Department of Solid State Chemistry, Novosibirsk State University, Senior Researcher of the Laboratory of Surface Science Boreskov Institute of Catalysis SB RAS
- Natalia N. Sankova – Junior Researcher, Department of Nontraditional Catalytic Processes, Boreskov Institute of Catalysis SB RAS, Junior Researcher, Laboratory of Intelligent and Additive Methods of Materials Synthesis Novosibirsk State University
- Alexey G. Okunev – PhD, Director of the Higher College of Informatics, Novosibirsk State University, Senior Researcher, Template Synthesis Group Boreskov Institute of Catalysis SB RAS
Matveev, A.V. Automatic analysis of microscopy images using the DLgram01 cloud service / A.V. Matveev, M.Y. Mashukov, A.V. Nartova, N.N. Sankova, A.G. Okunev // Physical and chemical aspects of the study of clusters, nanostructures and nanomaterials. – Tver: TSU, 2021. — I. 13. — P. 300-311. DOI: 10.26456/pcascnn/2021.13.300. (In Russian).
Full article (in Russian): download PDF file
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