scCDC: a computational method for gene-specific contamination detection and correction in single-cell …
In droplet-based single-cell and single-nucleus RNA-seq assays, systematic contamination of ambient RNA molecules biases the quantification of gene expression levels. Existing methods correct the contamination for all genes globally. However, there lacks specific evaluation of correction efficacy for varying contamination …
Mycoplasma contamination is a major problem in cell culture, affecting the validity of experimental results as well as the quality and safety of cell-based biopharmaceuticals 2 . Mycoplasma compete with host cells for nutrients and biochemical precursors.
Fault detection and computation of power in PV cells under faulty …
In Schuss et al. (2016), synchronized thermography was primarily used to characterize samples for defect detection and analysis and an estimate was made of the geometric area of PV cells. A binary classification method to classify healthy and damaged solar cells in EL image data is developed in Juan and Kim (2020) using Support Vector …
Detection of DNA Contamination in Prenatal Samples from Whole …
Maternal cell contamination (MCC) in prenatal samples poses a risk for misdiagnosis, and therefore, testing for contamination is necessary during genetic analysis of prenatal specimens. MCC testing is currently …
Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell …
PV module, and contamination defects are caused by contamination of impurities during the manufacturing process. These defective cell images are manually labeled for training
Photovoltaic Cell Defect Detection Based on Weakly Supervised …
In this study, we propose a weakly supervised learning method to build a CNN for cell-level defect detection in a cost-efficient manner. Our method uses a training dataset solely …
Deep Learning Methods for Solar Fault Detection and …
photovoltaic cell defects in electroluminescence images, " Energy, 2019, 189, pp.116319. [13] G. Li et al., "Thermo-mechanical behavior assessment of smart wire ...
Sensors | Free Full-Text | Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell ...
Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate the effectiveness of solar PV modules, manufacturing defects are required to be identified. Conventional defect inspection in industries mainly depends on manual defect inspection by highly skilled inspectors, which …
Best practices for detecting and mitigating the risk of cell culture …
A variety of biological and chemical contaminants can adversely impact cells in culture, ranging from outright destruction of the culture, mutation, phenotypic changes to relatively minor changes in morphology, or growth rate. There are various approaches to detecting and mitigating the risk of biological or microbial contaminants in …
Defect Detection in Photovoltaic Modules Case Study from | Allied Vision 04/11/22, 04:30 PM | Solar Power, Other Renewables ... The amount of light a cell generates for a given applied current can also serve as a measure of the solar cell''s conversion efficiency. ...
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic …
The multiscale defect detection for photovoltaic (PV) cell electroluminescence (EL) images is a challenging task, due to the feature vanishing as network deepens. To …
Photovoltaic Cell Defect Detection Based on Weakly Supervised …
Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules. Existing studies have built a CNN based on fully supervised learning, which requires a training dataset consisting of PV cell images annotated according to whether the individual cells are defective. …
Attention M-net for Automatic Pixel-Level Micro-crack Detection of Photovoltaic Module Cells in Electroluminescence Images
In the solar power industry, quality inspection of solar cells is a very important part of the production and application process. Micro-crack is a type of common defect that may be present in photovoltaic (PV) module cells which can reduce the power generation efficiency and service lifetime. However, it is difficult to identify micro-crack by the naked …
Review A review of automated solar photovoltaic defect detection …
CNN based automatic detection of photovoltaic cell defects in electroluminescence images Energy, 189 (2019), Article 116319, 10.1016/j.energy.2019.116319 View PDF View article View in Scopus Google Scholar [44] X. Chen, T. Karin, A. Jain Sol. Energy, 242 ...
Prevention and Detection of Mycoplasma Contamination in Cell Culture …
There are currently around 190 species of mycoplasma that are found in humans, animals, insects, and plants, yet only six of them are thought to be in charge of almost 95% of cell culture ...
Preventing, Detecting, and Addressing Cell Culture Contamination
Cell culture contamination can be devastating for a laboratory—causing the loss of valuable time, effort, and reagents, not to mention potentially irreplaceable cell lines. Of further concern is undetected contamination; producing potentially erroneous results, it risks damaging your laboratory''s reputation.
Detection and Treatment of "Black Granules"Contamination in Cell …
ZHOU Yi-Ting, GAO Zeng-Hong, YANG Jia-Wen, WANG Jin, GUO Ya-Bin, MA Guang-Wei. Detection and Treatment of "Black Granules"Contamination in Cell Culture[J]. Progress in Biochemistry and Biophysics,2020,47(1):61-68 Copy
Attention classification-and-segmentation network for micro-crack anomaly detection of photovoltaic module cells …
With the development of machine vision, the anomaly detection technology of PV module cells is gradually transitioning to the efficient and economical automatic detection methods. Spataru et al. (2017) developed a two-dimensional matched filter to detect the location of the crack and obtained a binary location map of the micro …
Review article Methods of photovoltaic fault detection and ...
Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability of the PV system (PVS). Various faults may occur in either DC …
High-throughput sequencing for species authentication and contamination detection of 63 cell …
Cell line authentication and contamination detection based on metagenomic high-throughput sequencing (HTS) was tested on DNA and RNA from 63 cell lines available at the Canadian Food Inspection ...
Detection and antibiotic treatment of Mycoplasma arginini contamination in a mouse epithelial cell line restore normal cell …
Mycoplasma contamination of cultured cell lines is difficult to detect by routine observation. Infected cells can display normal morphology and the slow growth rate of mycoplasma can delay detection for extended periods of time, compromising experimental results. Positive identification of mycoplasm …
Fast object detection of anomaly photovoltaic (PV) cells using …
The proposed PSA-YOLOv7 framework for PV cell anomaly detection can be applied in various solar energy systems to ensure efficient operation, such as quality control in PV cell manufacturing. The proposed framework can be used for quality control during PV cell manufacturing processes, detecting defects and irregularities in the produced PV cells …
Defect detection and quantification in electroluminescence images of solar PV …
recoded, and augmented. The augmentation occurred only after the split to avoid any cross-contamination, ... Automatic processing and solar cell detection in photovoltaic electroluminescence images Integrated Comput. …
Failures of Photovoltaic modules and their Detection: A Review
The remainder of this review is structured as (also given in Fig. 2): Section 2 gives overview of PV module and its structure, Section 3 provides information about all types of field reported failures in PV modules, Section 4 discusses fire risks associated with PV modules and factors affecting their initiation and spread, Section 5 summarizes the steps …
Energies | Free Full-Text | Operation Problems of Solar Panel Caused by the Surface Contamination …
Solar panels have been widely criticized for their weather dependence and slowly improving efficiency. Several external factors can further increase the efficiency of solar panels, e.g., shading effect and surface contamination. We investigated the warming effect and the negative impact of these factors on energy production during the research. …
Cs2TiI6: A potential lead-free all-inorganic perovskite material for ultrahigh-performance photovoltaic cells and alpha-particle detection …
The multi-scale simulation connecting from material to device reveals that Cs2TiI6 perovskite has the great potential for photovoltaic cells, α-particle detection and even their space application. The lead contamination and long-term stability are the two important problems limiting the commercialization of organic-inorganic lead halide …
Easy detection of shunts, crystalline defects, and broken finger electrodes Compared to other NIR products in the market, customers felt that Manta G-145B has a high sensitivity to harness induced EL from solar modules, using …
