SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100209
Xiaoping Song , Jun zhang , Weihong Hua , Yan Zheng , Xiaolin Liu , Yuanqi Zhu , Sun Bin , Jian Ding , Suling Sun
{"title":"Bio inspired microfluidic-based analysis of Klebsiella pneumoniae virulence factors and antimicrobial resistance","authors":"Xiaoping Song , Jun zhang , Weihong Hua , Yan Zheng , Xiaolin Liu , Yuanqi Zhu , Sun Bin , Jian Ding , Suling Sun","doi":"10.1016/j.slast.2024.100209","DOIUrl":"10.1016/j.slast.2024.100209","url":null,"abstract":"<div><div>The objective of this research was to examine the antibiotic resistance and microbiological traits of Klebsiella pneumoniae isolates that were responsible for liver abscesses in Qingdao, China. Between April and September 2022, isolates were taken from 120 patients at three tertiary hospitals. Rapid detection of capsule serotypes (K1, K2) and virulence genes (rmpA, aerobactin) was achieved by using microfluidic-based techniques. Testing for antimicrobial susceptibility was done with the VITEK 2 Compact system. The findings showed that there was a high frequency of extremely virulent K. pneumoniae strains, which are often linked to bacteremia and higher death rates. These strains belonged to the K1 and K2 serotypes and were primarily carrying the aerobactin and rmpA genes. The majority of isolates were antibiotic-sensitive, but the emergence of resistant strains emphasizes the necessity of continuing surveillance. The efficiency of microfluidic platforms for the quick and precise characterization of K. pneumoniae is demonstrated in this work, enabling prompt clinical interventions.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100209"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100206
Gazala Mushtaq, Veningston K
{"title":"AI driven interpretable deep learning based fetal health classification","authors":"Gazala Mushtaq, Veningston K","doi":"10.1016/j.slast.2024.100206","DOIUrl":"10.1016/j.slast.2024.100206","url":null,"abstract":"<div><div>In this study, a deep learning model is proposed for the classification of fetal health into 3 categories: Normal, suspect, and pathological. The primary objective is to utilize the power of deep learning to improve the efficiency and effectiveness of diagnostic processes. A deep neural network (DNN) model is proposed for fetal health analysis using data obtained from Cardiotocography (CTG). A dataset containing 21 attributes is used to carry out this work. The model incorporates multiple hidden layers, augmented with batch normalization and dropout layers for improved generalization. This study assesses the model's interpretation ability in fetal health classification using explainable deep learning. This enhances transparency in decision-making of the classifier model by leveraging feature importance and feature saliency analysis, fostering trust and facilitating the clinical adoption of fetal health assessments. Our proposed model demonstrates a remarkable performance with 0.99 accuracy, 0.93 sensitivity, 0.93 specificity, 0.96 AUC, 0.93 precision, and 0.93 F1 scores in classifying fetal health. We also performed comparative analysis with six other models including Logistic Regression, KNN, SVM, Naive Bayes, Random Forest, and Gradient Boosting to assess and compare the effectiveness of our model and the accuracies of 0.89, 0.88, 0.90, 081, 0.93, and 0.93 were achieved respectively by these baseline models. The results revealed that our proposed model outperformed all the baseline models in terms of accuracy. This indicates the potential of deep learning in improving fetal health assessment and contributing to the field of obstetrics by providing a robust tool for early risk detection.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100206"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100205
George Moukarzel , Yi Wang , Weiyue Xin, Carl Hofmann, Anjali Joshi, John W. Loughney, Amy Bowman
{"title":"Automation of biochemical assays using an open-sourced, inexpensive robotic liquid handler","authors":"George Moukarzel , Yi Wang , Weiyue Xin, Carl Hofmann, Anjali Joshi, John W. Loughney, Amy Bowman","doi":"10.1016/j.slast.2024.100205","DOIUrl":"10.1016/j.slast.2024.100205","url":null,"abstract":"<div><div>High Throughput Screening is crucial in pharmaceutical companies for efficient testing in drug discovery and development. Our Vaccines Analytical Research and Development (V-AR&D) department extensively uses robotic liquid handlers in their High Throughput Analytics (HTA) group for assay development and sample screening. However, these instruments are expensive and require extensive training. Opentrons' OT-2 liquid handler offers a more affordable option (<∼ $10,000) with Python programming language and open-source flexibility, reducing training requirements. OT-2 allows broadening of testing capabilities and method transfer without significant capital investments. Two biochemical assays were conducted to assess OT-2′s performance, and it demonstrated accurate pipetting with low covariance compared to Tecan EVO liquid handlers. Though OT-2 has some limitations such as lack of a crash detection system and limited deck space, it is a cost-effective, medium-throughput, and accurate liquid handling tool suitable for early-stage development and method transfer.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100205"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100204
Fraser Hughes, Alex Cookson, Fabio Tamaki, Christopher Bailey, David W. Gray, Karolina Wrobel, Kirsty Cookson, Steve Bell, Gary Tarver
{"title":"HTS library plate rejuvenation using a DMSO-rich atmosphere","authors":"Fraser Hughes, Alex Cookson, Fabio Tamaki, Christopher Bailey, David W. Gray, Karolina Wrobel, Kirsty Cookson, Steve Bell, Gary Tarver","doi":"10.1016/j.slast.2024.100204","DOIUrl":"10.1016/j.slast.2024.100204","url":null,"abstract":"<div><div>Dry DMSO can rapidly pull water vapor out of the air due to its hygroscopic nature. This is a well-documented problem within drug discovery, particularly within high-throughput screening (HTS). This hydration is caused by atmospheric moisture being absorbed each time a compound library is used. This effect becomes increasingly pronounced when a compound library is used routinely. The result of this hydration is a change to both the total volume of solution and the concentration of sample still in solution. This can result in a large amount of variability in the measured biological activity of a sample depending on the library usage. In this paper, we show the detrimental effects the hydration of sample libraries has on the reproducibility of biological data and present a novel way to remove it from HTS library plates. Our approach involves creating a DMSO-rich environment, created by placing anhydrous DMSO in compound storage pods purged with nitrogen, and incubating library plates in this environment for up to 3 days. Quantification via evaporative light scattering detection (ELSD) showed that removing water greatly increased the molarity of solutions, with a greater effect being seen for compounds with poor solubility. We also demonstrated how this approach can restore the inhibitory activity of stock solutions of compounds (pIC<sub>50</sub>) of samples containing ∼30 % water from >30 µM to sub-micromolar after moisture removal. This method improves the reliability of tested compounds in HTS by potentially saving pharmaceutical companies hundreds of thousands of dollars in screening campaigns and increasing the quality of data.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100204"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100207
Kang Zhang, Jing Zhong
{"title":"Bio inspired technological performance in color Doppler ultrasonography and echocardiography for enhanced diagnostic precision in fetal congenital heart disease","authors":"Kang Zhang, Jing Zhong","doi":"10.1016/j.slast.2024.100207","DOIUrl":"10.1016/j.slast.2024.100207","url":null,"abstract":"<div><div>The aim of this experiment is to investigate the bioinspired diagnostic performance of color Doppler ultrasound (CDUS) and two-dimensional (2D) echocardiography (ECG) for fetal congenital heart disease (FCHD). The research subjects were 33 expectant mothers with a diagnosis of FCHD at Xiangyang No. 1 People's Hospital between January 2017 and January 2021. The accuracy, sensitivity, and specificity of the two detection techniques were computed to ascertain and compare the diagnostic efficiency after CDUS and ECG examinations of all pregnant women. According to the findings, the prenatal CDUS detection rate was 92.61% higher than the 2D ECG detection rate (64.32%). The CDUS had an accuracy of 93.94%, sensitivity of 93.55%, and specificity of 100%, detecting 29 true positives, 0 false positives, 2 false negatives, and 2 true negatives. At 84.85% accuracy, 88.89% sensitivity, and 80% specificity, the 2D ECG identified 16 true positives, 3 false positives, 2 false positives, and 12 true negatives. There was a statistically significant (<em>P</em> < 0.05) difference between the accuracy, sensitivity, and specificity of 2D ECG and CDUS. In summary, CDUS was more effective than 2D ECG in diagnosing prenatal FCHD, and it also had a lower rate of missed and incorrect diagnoses.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100207"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100198
Shuhong Guan , Xiaoli Xu , Xiaoqin Zhu , Yunqi Ge , Jun Xie , Jun Zhou
{"title":"Diagnostic value of rEBUS-TBLB combined distance measurement method based on ultrasound images in bronchoscopy for peripheral lung lesions","authors":"Shuhong Guan , Xiaoli Xu , Xiaoqin Zhu , Yunqi Ge , Jun Xie , Jun Zhou","doi":"10.1016/j.slast.2024.100198","DOIUrl":"10.1016/j.slast.2024.100198","url":null,"abstract":"<div><div>Traditional imaging methods have limitations in the diagnosis of peripheral lung lesions. The aim of this study is to evaluate the diagnostic value of the distance measurement method based on ultrasound image-based inverted electrostrain (rEBUS) combined with thoracoscopic lung biopsy (TBLB) for peripheral lung lesions. A group of patients with peripheral lung lesions were recruited for the study, and rEBUS examination was performed simultaneously during TBLB. Using rEBUS ultrasound images combined with electrostrain information, evaluate the morphological characteristics of peripheral lung lesions and the elastic properties of internal tissues. By comparing with pathological examination results, both rEBUS-D-TBLB and rEBUS-GS-TBLB have a higher positive diagnostic rate for PPL under bronchoscopy. However, rEBUS-D-TBLB is more effective in diagnosing benign PPL with ≥ 3 cm PPL than rEBUS-GS-TBLB. The rEBUS-TBLB combined ranging method has shown high accuracy and sensitivity in diagnosing peripheral lung lesions. Ultrasound images provide clear morphological features of the tumor, while the electrical strain information of rEBUS provides elastic information of the internal tissue of the tumor, further improving the accuracy of diagnosis.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100198"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation","authors":"Yoritaka Harazono , Haruko Shimono , Kikumi Hata , Toutai Mitsuyama , Takaaki Horinouchi","doi":"10.1016/j.slast.2024.100200","DOIUrl":"10.1016/j.slast.2024.100200","url":null,"abstract":"<div><div>An inexpensive single-arm robot is widely utilized for recent laboratory automation solutions. The integration of a single-arm robot as a transfer system into a semi-automatic liquid dispenser without a transfer system can be realized as an inexpensive alternative to a fully automated liquid handling system. However, there has been no quantitative investigation of the positional accuracy of robot arms required to transfer microplates. In this study, we constructed a platform comprising aluminum frames and digital gauges to facilitate such measurements. We measured the position repeatability of a robot arm equipped with a custom-made finger by repeatedly transferring microplates. Further, the acceptable misalignment of plate transfer was evaluated by adding an artificial offset to the microplate position using this platform. The results of these experiments are expected to serve as benchmarks for the selection of robot arms for laboratory automation in biology. Furthermore, all information for replicating this device will be made publicly available, thereby allowing many researchers to collaborate and accumulate knowledge, hopefully contributing to advances in this field.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100200"},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-10-01DOI: 10.1016/j.slast.2024.100195
Giorgio Fedele , Graham Hill , Amelia Sweetford , Suki Lee , Bobby Yau , Domenico R. Caputo , Denise Grovewood , Rowda Dahir , Paula Esquivias Ruiz-Dana , Anika Wisniewska , Anna Di Biase , Miles Gibson , Benita Percival , Stefan Grujic , Donald P. Fraser
{"title":"Development and validation of automated methods for COVID-19 PCR Master Mix preparation","authors":"Giorgio Fedele , Graham Hill , Amelia Sweetford , Suki Lee , Bobby Yau , Domenico R. Caputo , Denise Grovewood , Rowda Dahir , Paula Esquivias Ruiz-Dana , Anika Wisniewska , Anna Di Biase , Miles Gibson , Benita Percival , Stefan Grujic , Donald P. Fraser","doi":"10.1016/j.slast.2024.100195","DOIUrl":"10.1016/j.slast.2024.100195","url":null,"abstract":"<div><div>Polymerase chain reaction (PCR)-based assays were widely deployed during the SARS-CoV-2 pandemic for population-scale testing. High-throughput molecular diagnostic laboratories required a high degree of process automation to cope with huge testing demands, fast turnaround times, and quality requirements. However, process developers and optimizers often neglected the critical step of preparing a PCR Master Mix. The construction of PCR Master Mix depends on operator skill during the manual pipetting of reagents. Manual procedures introduce variation, inconsistency, wastage, and potentially risks data integrity. To address this, we developed a liquid-handler-based solution for automated, traceable, and compliant PCR Master Mix preparation. Here, we show that a fully automated PCR Master Mix protocol can replace manual pipetting, even in a diagnostic environment, without affecting accuracy or precision. Ultimately, this method eliminated operator-induced wastage and improved the consistency of the quality of results.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 5","pages":"Article 100195"},"PeriodicalIF":2.5,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142332304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SLAS TechnologyPub Date : 2024-09-21DOI: 10.1016/j.slast.2024.100196
Mei Li , Likun Zhang , Yingcui Wang , Xiaohong Xu
{"title":"Exploration of fractional flow reservation score based on artificial intelligence post-processing for coronary artery lesions in patients with diabetes and coronary heart disease","authors":"Mei Li , Likun Zhang , Yingcui Wang , Xiaohong Xu","doi":"10.1016/j.slast.2024.100196","DOIUrl":"10.1016/j.slast.2024.100196","url":null,"abstract":"<div><div>In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reservation (FFR) in patients with different levels of CHD and diabetes, this paper used AI (artificial intelligence) post-processing technology to detect CHD and FFR. In this paper, 94 patients suspected of CHD who underwent coronary arteriography (CAG) in a hospital between December 2022 and February 2023 were examined by coronary computed tomography angiography (CCTA) and FFR. Based on CCTA, AI software is used to process CCTA images, diagnose coronary plaques, coronary stenosis, corresponding stenosis of different types of plaques, and FFR values. The diagnostic performance of AI was evaluated using expert diagnosis, CAG diagnosis, and FFR examination results as the “gold standard”. According to the diagnosis results, the relationship between FFR and CHD patients with diabetes at different levels was studied. The research results showed that AI image diagnosis has high sensitivity, specificity, and accuracy, and has good diagnostic effects on coronary plaques, coronary stenosis, stenosis corresponding to different types of plaques, and FFR values. The fasting blood glucose levels and FFR values of three groups of CHD patients were statistically significant, and correlation analysis revealed a negative correlation between the two. Using AI for CCTA diagnosis can efficiently, conveniently, and accurately obtain the required data, improving clinical diagnostic efficiency and accuracy. The analysis of AI recognition results found that in patients with CHD, the FFR value of patients with diabetes decreased, and the FFR value was negatively correlated with the fasting blood glucose concentration, indicating that CHD patients may lead to myocardial ischemia in the blood supply area due to the decline of their coronary blood flow reserve.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 6","pages":"Article 100196"},"PeriodicalIF":2.5,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}