Pub Date : 2024-10-12DOI: 10.1016/j.slast.2024.100201
In recent years, pharmaceutical research has increased its interest in novel drug modalities beyond small molecules to overcome therapeutic limitations and find more effective cures.
Compound Management teams globally are adapting their processes and equipment to handle such “new modalities” with the same quality and speed as small molecule research.
Here, we share our approach in supporting next-generation therapeutics by introducing solutions for multi-solvent workflows in Compound Management at AstraZeneca.
From sample submission to assay-ready plate generation, we describe the challenges faced and process improvements introduced so far.
Collaborating with our business partners, we are pioneering new best practices and laying solid foundations for future research to bring new efficacious drugs into the clinics.
{"title":"Challenges and opportunities of next generation therapeutics: A compound management perspective","authors":"","doi":"10.1016/j.slast.2024.100201","DOIUrl":"10.1016/j.slast.2024.100201","url":null,"abstract":"<div><div>In recent years, pharmaceutical research has increased its interest in novel drug modalities beyond small molecules to overcome therapeutic limitations and find more effective cures.</div><div>Compound Management teams globally are adapting their processes and equipment to handle such “new modalities” with the same quality and speed as small molecule research.</div><div>Here, we share our approach in supporting next-generation therapeutics by introducing solutions for multi-solvent workflows in Compound Management at AstraZeneca.</div><div>From sample submission to assay-ready plate generation, we describe the challenges faced and process improvements introduced so far.</div><div>Collaborating with our business partners, we are pioneering new best practices and laying solid foundations for future research to bring new efficacious drugs into the clinics.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480665","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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100208
Acupuncture, as a traditional Chinese medical treatment, has garnered increasing attention in recent years in fields such as tumor metabolism, the central nervous system, and the immune microenvironment. This paper aims to explore the fundamental principles, mechanisms, and research status of acupuncture therapy for tumor-related diseases. Firstly, we introduce the basic principles of acupuncture therapy, including the theories of meridians and its theoretical basis in tumor treatment. Secondly, we systematically review the mechanisms of acupuncture therapy for tumor-related diseases, discussing how acupuncture alleviates side effects such as pain, depression, fatigue, and gastrointestinal discomfort caused by conventional treatments through modulation of the immune microenvironment, central nervous system, and endocrine system. Subsequently, we discuss the current research status of acupuncture therapy for tumor-related diseases, as well as the application of current research methods and technologies in elucidating acupuncture mechanisms. Additionally, by combining clinical practice with different types of tumor-related diseases as experimental subjects, we demonstrate the application effectiveness and clinical practice experience of acupuncture in tumor treatment. Finally, a comprehensive assessment of acupuncture therapy for tumor-related diseases is provided, summarizing its limitations and prospecting future directions, including interdisciplinary collaboration and personalized treatment. In conclusion, acupuncture, as a feasible adjunctive therapy, is closely related to the central nervous system and the immune microenvironment, holding potential significant value in tumor treatment.
{"title":"Exploring the mechanisms and current status of acupuncture in alleviating tumor metabolism and associated diseases: Insights from the central nervous system and immune microenvironment","authors":"","doi":"10.1016/j.slast.2024.100208","DOIUrl":"10.1016/j.slast.2024.100208","url":null,"abstract":"<div><div>Acupuncture, as a traditional Chinese medical treatment, has garnered increasing attention in recent years in fields such as tumor metabolism, the central nervous system, and the immune microenvironment. This paper aims to explore the fundamental principles, mechanisms, and research status of acupuncture therapy for tumor-related diseases. Firstly, we introduce the basic principles of acupuncture therapy, including the theories of meridians and its theoretical basis in tumor treatment. Secondly, we systematically review the mechanisms of acupuncture therapy for tumor-related diseases, discussing how acupuncture alleviates side effects such as pain, depression, fatigue, and gastrointestinal discomfort caused by conventional treatments through modulation of the immune microenvironment, central nervous system, and endocrine system. Subsequently, we discuss the current research status of acupuncture therapy for tumor-related diseases, as well as the application of current research methods and technologies in elucidating acupuncture mechanisms. Additionally, by combining clinical practice with different types of tumor-related diseases as experimental subjects, we demonstrate the application effectiveness and clinical practice experience of acupuncture in tumor treatment. Finally, a comprehensive assessment of acupuncture therapy for tumor-related diseases is provided, summarizing its limitations and prospecting future directions, including interdisciplinary collaboration and personalized treatment. In conclusion, acupuncture, as a feasible adjunctive therapy, is closely related to the central nervous system and the immune microenvironment, holding potential significant value in tumor treatment.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480652","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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100209
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.
{"title":"Bio inspired microfluidic-based analysis of Klebsiella pneumoniae virulence factors and antimicrobial resistance","authors":"","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":null,"pages":null},"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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100206
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.
{"title":"AI driven interpretable deep learning based fetal health classification","authors":"","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":null,"pages":null},"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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100205
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.
{"title":"Automation of biochemical assays using an open-sourced, inexpensive robotic liquid handler","authors":"","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":null,"pages":null},"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}
Pub 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
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 (pIC50) 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.
{"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":"https://doi.org/10.1016/j.slast.2024.100204","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":null,"pages":null},"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":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100207
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 (P < 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.
{"title":"Bio inspired technological performance in color Doppler ultrasonography and echocardiography for enhanced diagnostic precision in fetal congenital heart disease","authors":"","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":null,"pages":null},"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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100198
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.
传统的成像方法在诊断肺周围病变方面存在局限性。本研究旨在评估基于超声图像的倒置电应变距离测量法（rEBUS）结合胸腔镜肺活检术（TBLB）对肺周围病变的诊断价值。研究招募了一组肺周围病变患者，在进行 TBLB 时同时进行了 rEBUS 检查。利用 rEBUS 超声图像结合电应变信息，评估肺外周病变的形态特征和内部组织的弹性特性。与病理检查结果相比，rEBUS-D-TBLB 和 rEBUS-GS-TBLB 在支气管镜下对 PPL 的诊断阳性率更高。不过，rEBUS-D-TBLB 在诊断 PPL≥ 3 厘米的良性 PPL 方面比 rEBUS-GS-TBLB 更有效。rEBUS-TBLB 联合测距法在诊断肺外周病变方面具有较高的准确性和灵敏度。超声图像提供了清晰的肿瘤形态特征，而 rEBUS 的电应变信息提供了肿瘤内部组织的弹性信息，进一步提高了诊断的准确性。
{"title":"Diagnostic value of rEBUS-TBLB combined distance measurement method based on ultrasound images in bronchoscopy for peripheral lung lesions","authors":"","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":null,"pages":null},"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}
Pub Date : 2024-10-11DOI: 10.1016/j.slast.2024.100200
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.
{"title":"Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation","authors":"","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":null,"pages":null},"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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号