Convolutional Neural Network Application to Automate the Process of Aliquoting Biosamples

Convolutional Neural Network Application to Automate the Process of Aliquoting Biosamples

To automate the aliquoting process, it is necessary to determine the required depth of immersion of the pipette into the blood serum. This paper presents the results of a study aimed at creating a vision system that makes it possible to determine the position and nature of the fractional interface b...

Full description

Bibliographic Details
Main Authors:	Sergey Khalapyan, Larisa Rybak, Anna Nozdracheva, Tatyana Semenenko
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Engineering Proceedings
Subjects:	automation aliquoting blood serum image recognition convolutional neural network U-Net
Online Access:	https://www.mdpi.com/2673-4591/33/1/56

Similar Items

Robotic System for Blood Serum Aliquoting Based on a Neural Network Model of Machine Vision
by: Sergey Khalapyan, et al.
Published: (2023-03-01)

Optimal Design of a Parallel Manipulator for Aliquoting of Biomaterials Considering Workspace and Singularity Zones
by: Dmitry Malyshev, et al.
Published: (2022-02-01)

An Effective Lunar Crater Recognition Algorithm Based on Convolutional Neural Network
by: Song Wang, et al.
Published: (2020-08-01)

Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material for Objective Evaluation of Bowel Preparation Quality in Colonoscopy
by: Yen-Po Wang, et al.
Published: (2022-03-01)

Automated segmentation and labeling of subcutaneous mouse implants at 14.1T
by: Julien Adda, et al.
Published: (2023-08-01)

A novel shape classification method using 1‐D convolutional neural networks
by: Xun Zhang, et al.
Published: (2023-06-01)

Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels
by: Zheyu Wang, et al.
Published: (2024-03-01)

Application of a Convolutional Neural Network for the Detection of Sea Ice Leads
by: Jay P. Hoffman, et al.
Published: (2021-11-01)

Assessing Deep Convolutional Neural Networks and Assisted Machine Perception for Urban Mapping
by: Yang Shao, et al.
Published: (2021-04-01)

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
by: Haitong Tang, et al.
Published: (2024-01-01)

Automated Lunar Crater Identification with Chandrayaan-2 TMC-2 Images using Deep Convolutional Neural Networks
by: Mimansa Sinha, et al.
Published: (2024-04-01)

Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network
by: Saravanan Srinivasan, et al.
Published: (2024-02-01)

An automated cervical cancer detection scheme using deeply supervised shuffle attention modified convolutional neural network model
by: Kanimozhi T., et al.
Published: (2023-07-01)

Automated garden-insect recognition using improved lightweight convolution network
by: Zhankui Yang, et al.
Published: (2023-06-01)

Road Extraction Convolutional Neural Network with Embedded Attention Mechanism for Remote Sensing Imagery
by: Shiwei Shao, et al.
Published: (2022-04-01)

Automated facial characterization and image retrieval by convolutional neural networks
by: Syed Taimoor Hussain Shah, et al.
Published: (2023-12-01)

Image Recognition Method Based on an Improved Convolutional Neural Network to Detect Impurities in Wheat
by: Yin Shen, et al.
Published: (2019-01-01)

DL_Track - Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning
by: Paul Ritsche, et al.
Published: (2023-02-01)

Automation of petri nets simulation/
by: Nuzulan Naim Zulkipli, 1983-, et al.
Published: (2016)

Automated Classification of Ultrasonic Signal via a Convolutional Neural Network
by: Yakun Shi, et al.
Published: (2022-04-01)

Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
by: Ogbaje Andrew, et al.
Published: (2023-05-01)

Comparison of Multilayer Neural Network Models in Terms of Success of Classifications Based on EmguCV, ML.NET and Tensorflow.Net
by: Martin Magdin, et al.
Published: (2022-04-01)

Spatiotemporal Reconstruction of MODIS Normalized Difference Snow Index Products Using U-Net with Partial Convolutions
by: De Xing, et al.
Published: (2022-04-01)

Automation of petri nets simulation [electronic resource]/
by: Nuzulan Naim Zulkipli, 1983-
Published: (2016)

Microstrip antenna modelling based on image‐based convolutional neural network
by: Hao Fu, et al.
Published: (2023-08-01)

Convolutional Neural Network Approaches in Median Nerve Morphological Assessment from Ultrasound Images
by: Shion Ando, et al.
Published: (2024-01-01)

Fat-Corrected Pancreatic <i>R</i>2* Relaxometry from Multi-Echo Gradient-Recalled Echo Sequence Using Convolutional Neural Network
by: Maria Filomena Santarelli, et al.
Published: (2022-09-01)

3D deep convolutional neural network segmentation model for precipitate and porosity identification in synchrotron X-ray tomograms
by: S. Gaudez, et al.
Published: (2022-09-01)

Partial Discharge Pattern Recognition of Transformers Based on MobileNets Convolutional Neural Network
by: Yuanyuan Sun, et al.
Published: (2021-07-01)

Convolutional Neural Network Predictions for Unsteady Reynolds-Averaged Navier–Stokes-Based Numerical Simulations
by: Alvaro Abucide-Armas, et al.
Published: (2023-01-01)

Hippocampus Segmentation Method Applying Coordinate Attention Mechanism and Dynamic Convolution Network
by: Juan Jiang, et al.
Published: (2023-07-01)

A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning
by: Gang Wang, et al.
Published: (2024-02-01)

Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks
by: Mohammad Siami, et al.
Published: (2024-03-01)

RUC-Net: A Residual-Unet-Based Convolutional Neural Network for Pixel-Level Pavement Crack Segmentation
by: Gui Yu, et al.
Published: (2022-12-01)

Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks
by: Min Dai, et al.
Published: (2023-08-01)

CDF‐net: A convolutional neural network fusing frequency domain and spatial domain features
by: Aitao Yang, et al.
Published: (2023-04-01)

Comparison of Fully Convolutional Networks (FCN) and U-Net for Road Segmentation from High Resolution Imageries
by: Ozan Ozturk, et al.
Published: (2020-12-01)

Computational Acceleration of Topology Optimization Using Deep Learning
by: Jalal Rasulzade, et al.
Published: (2022-12-01)

Multibranch Separable 3-D Convolutional Neural Network for Hyperspectral Image Denoising
by: Haitao Yin, et al.
Published: (2023-01-01)

Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network
by: Kashan Zafar, et al.
Published: (2020-03-01)