Pub Date : 2025-02-01DOI: 10.1016/j.slast.2024.100231
Chao Sun , Ruo Wu Wu , Si Yuan Liu
This study presents an interactive visualization-based Model-Based Systems Engineering (MBSE) technique that is especially designed to handle requirements analysis and design issues in joint test settings. Standardized operational requirement description, test requirement analysis, test design, and first test system plan generation are the four primary phases that make up the technique. This method provides a more thorough and approachable depiction of both operational and test requirements by utilizing interactive visualization techniques. This makes it possible for test staff to more accurately and efficiently develop, visualize, and improve test plans. The methodology's efficacy in augmenting the capabilities of joint testing platforms is demonstrated through a thorough case study of a joint test. Higher levels of accuracy and dependability in test results are eventually a result of this approach's strong support for requirements analysis, test design, and the general execution and assessment of joint tests inside complex systems.
{"title":"Model-based interactive visualization for complex systems requirements and design in joint tests","authors":"Chao Sun , Ruo Wu Wu , Si Yuan Liu","doi":"10.1016/j.slast.2024.100231","DOIUrl":"10.1016/j.slast.2024.100231","url":null,"abstract":"<div><div>This study presents an interactive visualization-based Model-Based Systems Engineering (MBSE) technique that is especially designed to handle requirements analysis and design issues in joint test settings. Standardized operational requirement description, test requirement analysis, test design, and first test system plan generation are the four primary phases that make up the technique. This method provides a more thorough and approachable depiction of both operational and test requirements by utilizing interactive visualization techniques. This makes it possible for test staff to more accurately and efficiently develop, visualize, and improve test plans. The methodology's efficacy in augmenting the capabilities of joint testing platforms is demonstrated through a thorough case study of a joint test. Higher levels of accuracy and dependability in test results are eventually a result of this approach's strong support for requirements analysis, test design, and the general execution and assessment of joint tests inside complex systems.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100231"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830873","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 : 2025-02-01DOI: 10.1016/j.slast.2024.100230
Alice Rockliffe , Lauren Wheeler , Kiran Lidhar , Arun Dhar , Michelle Pemberton , Richard Kasprowicz , Ceridwen Hopely , Jo Francis , Shane Marine , David Brierley , Lorna Suckling
At GSK, we have implemented custom integrated robotics platforms housed in bespoke biosafety enclosures to augment our capabilities in advanced cellular screening. Here we present and discuss the impact of one such system, the Cellular Automated Screening Platform (CASPer). We evaluate the benefits of implementing specific processes on CASPer that include increasing the throughput of safety screening assays and improving data integrity when testing complex in vitro 3D primary human hepatocyte models. This article provides an overview of the platforms installed and offers insight into their utilisation by presenting example workflows and quality control solutions which have been implemented. We offer perspective on the advantages of such custom integrated systems and their limitations in cellular screening for early drug discovery.
{"title":"Implementing enclosed sterile integrated robotic platforms to improve cell-based screening for drug discovery","authors":"Alice Rockliffe , Lauren Wheeler , Kiran Lidhar , Arun Dhar , Michelle Pemberton , Richard Kasprowicz , Ceridwen Hopely , Jo Francis , Shane Marine , David Brierley , Lorna Suckling","doi":"10.1016/j.slast.2024.100230","DOIUrl":"10.1016/j.slast.2024.100230","url":null,"abstract":"<div><div>At GSK, we have implemented custom integrated robotics platforms housed in bespoke biosafety enclosures to augment our capabilities in advanced cellular screening. Here we present and discuss the impact of one such system, the Cellular Automated Screening Platform (CASPer). We evaluate the benefits of implementing specific processes on CASPer that include increasing the throughput of safety screening assays and improving data integrity when testing complex <em>in vitro</em> 3D primary human hepatocyte models. This article provides an overview of the platforms installed and offers insight into their utilisation by presenting example workflows and quality control solutions which have been implemented. We offer perspective on the advantages of such custom integrated systems and their limitations in cellular screening for early drug discovery.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100230"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792790","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 : 2025-02-01DOI: 10.1016/j.slast.2024.100240
J. Huang , H. Liu , S. Junginger , K. Thurow
The automation of life science laboratory workflows is becoming increasingly important for optimizing efficiency and accuracy in research facilities. In this paper, we present a new paradigm for the integration of MOLAR Automated Guided Vehicles (AGV) into multi-floor laboratory workflows at the Center for Life Science Automation (CELISCA), which transports labware and materials between different workbenches across two floors. SAMI (Beckman Coulter, California, United States) sends mobile robots to connect highly distributed instrument equipment, enabling seamless and efficient laboratory material automated transportation. The MOLAR robot has the capability to interact with laboratory infrastructure, including elevators, automatic doors, workbenches, and the high-level control system. This innovative paradigm represents a comprehensive solution for executing transportation tasks in an intelligent laboratory environment using mobile robots, demonstrating consistent stability and exceptional effectiveness in real-world applications.
{"title":"Mobile robots in automated laboratory workflows","authors":"J. Huang , H. Liu , S. Junginger , K. Thurow","doi":"10.1016/j.slast.2024.100240","DOIUrl":"10.1016/j.slast.2024.100240","url":null,"abstract":"<div><div>The automation of life science laboratory workflows is becoming increasingly important for optimizing efficiency and accuracy in research facilities. In this paper, we present a new paradigm for the integration of MOLAR Automated Guided Vehicles (AGV) into multi-floor laboratory workflows at the Center for Life Science Automation (CELISCA), which transports labware and materials between different workbenches across two floors. SAMI (Beckman Coulter, California, United States) sends mobile robots to connect highly distributed instrument equipment, enabling seamless and efficient laboratory material automated transportation. The MOLAR robot has the capability to interact with laboratory infrastructure, including elevators, automatic doors, workbenches, and the high-level control system. This innovative paradigm represents a comprehensive solution for executing transportation tasks in an intelligent laboratory environment using mobile robots, demonstrating consistent stability and exceptional effectiveness in real-world applications.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100240"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171680","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 : 2025-02-01DOI: 10.1016/j.slast.2025.100253
Ao Song , Wanli Yang , Jun Wang , Yisa Cai , Lizheng Cai , Nan Pang , Ruihua Yu , Zhikun Liu , Chao Yang , Feng Jiang
Lung cancer is one of the most prevalent and lethal malignant tumors worldwide. Currently, clinical diagnosis primarily relies on chest X-ray examinations, histopathological analysis, and the detection of tumor markers in blood. However, each of these methods has inherent limitations. The current study aims to explore novel diagnostic approaches for lung cancer by employing attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy in conjunction with multiple machine learning models. Fourier transform infrared spectroscopy can detect subtle differences in the material structures that reflect the carcinogenic process between lung cancer tissues and normal tissues. By applying principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to analyze infrared spectral data, these subtle differences can be amplified. The study revealed that the combination of spectral bands within the 3500–3000 cm-1 and 1600–1500 cm-1 ranges is particularly significant for differentiating between the two groups. Three classification models—Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Linear Discriminant Analysis (LDA)—were constructed for spectral analysis of various band combinations. The results indicated that in detecting lung cancer samples, the combination of the 3500–3000 cm-1 and 1600–1500 cm-1 bands offers significant advantages. The analysis of the receiver operating characteristic (ROC) curve demonstrated that the area under the curve (AUC) exceeded 0.95 for all models, with the LDA model achieving an accuracy rate of 99.4% in identifying lung cancer patients compared to healthy individuals. The findings suggest that the integration of ATR-FTIR spectroscopy with multiple machine learning models represents a promising auxiliary diagnostic method for clinical lung cancer diagnosis, enabling detection at the molecular level.
{"title":"Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis","authors":"Ao Song , Wanli Yang , Jun Wang , Yisa Cai , Lizheng Cai , Nan Pang , Ruihua Yu , Zhikun Liu , Chao Yang , Feng Jiang","doi":"10.1016/j.slast.2025.100253","DOIUrl":"10.1016/j.slast.2025.100253","url":null,"abstract":"<div><div>Lung cancer is one of the most prevalent and lethal malignant tumors worldwide. Currently, clinical diagnosis primarily relies on chest X-ray examinations, histopathological analysis, and the detection of tumor markers in blood. However, each of these methods has inherent limitations. The current study aims to explore novel diagnostic approaches for lung cancer by employing attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy in conjunction with multiple machine learning models. Fourier transform infrared spectroscopy can detect subtle differences in the material structures that reflect the carcinogenic process between lung cancer tissues and normal tissues. By applying principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to analyze infrared spectral data, these subtle differences can be amplified. The study revealed that the combination of spectral bands within the 3500–3000 cm<sup>-1</sup> and 1600–1500 cm<sup>-1</sup> ranges is particularly significant for differentiating between the two groups. Three classification models—Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Linear Discriminant Analysis (LDA)—were constructed for spectral analysis of various band combinations. The results indicated that in detecting lung cancer samples, the combination of the 3500–3000 cm<sup>-1</sup> and 1600–1500 cm<sup>-1</sup> bands offers significant advantages. The analysis of the receiver operating characteristic (ROC) curve demonstrated that the area under the curve (AUC) exceeded 0.95 for all models, with the LDA model achieving an accuracy rate of 99.4% in identifying lung cancer patients compared to healthy individuals. The findings suggest that the integration of ATR-FTIR spectroscopy with multiple machine learning models represents a promising auxiliary diagnostic method for clinical lung cancer diagnosis, enabling detection at the molecular level.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100253"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124002","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 : 2025-02-01DOI: 10.1016/j.slast.2024.100242
Yanling Xing , Wei Wang , Na Wan , Dongmei Zhang , Mei Shan , Guan Wang
The vaginal microbiota plays an important role in reproductive health, especially in the process of artificial insemination. The imbalance of microbiota may affect pregnancy outcomes. Therefore, this study aims to explore the composition of vaginal microbiota and its impact on artificial insemination pregnancy outcomes, combined with microscopic images and PCR fluorescence methods, in order to provide scientific basis for improving the pregnancy outcomes of husband sperm artificial insemination. This study included female patients who underwent artificial insemination with husband's sperm and collected reproductive tract samples. By observing the microbial community morphology in the sample under a microscope and analyzing microbial DNA using PCR fluorescence method, the microbial ecological status is evaluated. Among women with successful pregnancy, the proportion of beneficial bacteria (such as lactic acid bacteria) is higher, while the abundance of pathogenic bacteria is significantly reduced. Specific microbial markers detected by PCR fluorescence method are positively correlated with pregnancy rate. Therefore, the microecological state of the female reproductive tract has a significant impact on the pregnancy outcome of artificial insemination. Maintaining a good microecological balance, especially increasing the proportion of beneficial bacteria, can help improve the success rate of artificial insemination.
{"title":"The influence of vaginal microbiota on the pregnancy outcome of artificial insemination with husband's sperm based on microscope images combined with PCR fluorescence method","authors":"Yanling Xing , Wei Wang , Na Wan , Dongmei Zhang , Mei Shan , Guan Wang","doi":"10.1016/j.slast.2024.100242","DOIUrl":"10.1016/j.slast.2024.100242","url":null,"abstract":"<div><div>The vaginal microbiota plays an important role in reproductive health, especially in the process of artificial insemination. The imbalance of microbiota may affect pregnancy outcomes. Therefore, this study aims to explore the composition of vaginal microbiota and its impact on artificial insemination pregnancy outcomes, combined with microscopic images and PCR fluorescence methods, in order to provide scientific basis for improving the pregnancy outcomes of husband sperm artificial insemination. This study included female patients who underwent artificial insemination with husband's sperm and collected reproductive tract samples. By observing the microbial community morphology in the sample under a microscope and analyzing microbial DNA using PCR fluorescence method, the microbial ecological status is evaluated. Among women with successful pregnancy, the proportion of beneficial bacteria (such as lactic acid bacteria) is higher, while the abundance of pathogenic bacteria is significantly reduced. Specific microbial markers detected by PCR fluorescence method are positively correlated with pregnancy rate. Therefore, the microecological state of the female reproductive tract has a significant impact on the pregnancy outcome of artificial insemination. Maintaining a good microecological balance, especially increasing the proportion of beneficial bacteria, can help improve the success rate of artificial insemination.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100242"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142900093","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}
Nitroreductase (NTR) plays a critical role in the oxygen-deficient environment of anoxic tumor cells, and its identification is crucial for the diagnosis and treatment of cancer. This research introduces an innovative Surface Enhanced Raman Scattering (SERS) probe, created by attaching p-nitrothiophenol (p-NTP) to gold nanoparticles (Au NPs). This probe leverages the specific enzymatic reaction of NTR in hypoxic status, utilizing decreased NADH. The enzymatic activity of NTR transforms nitroaromatic compounds into aromatic amines, which is then reflected as a measurable shift in the SERS signal of the probe. This novel approach allows for the accurate quantification of NTR, with the sensitivity reaching a detection threshold of less than 0.02 μg/mL. The probe's non-toxic nature and superior biocompatibility facilitate its use for direct SERS investigations in A549 cells under reduced oxygen levels. We also applied this method to xenograft model. The results demonstrate a marked increase in NTR levels in tumor cells and tumor tissues in hypoxic conditions, highlighting the significance of this nanoprobe in enhancing cancer diagnostics, helping medical doctors making treatment decisions more swiftly and effectively.
{"title":"Advanced surface-enhanced raman scattering nanoprobes for precise detection of Nitroreductase in Hypoxic tumor cells: Improving Cancer diagnosis","authors":"Xiaoyue Zhao , Ying Zhang , Chunyan Zhu , Zhihui Yang , Xiaoyuan Chu","doi":"10.1016/j.slast.2024.100229","DOIUrl":"10.1016/j.slast.2024.100229","url":null,"abstract":"<div><div>Nitroreductase (NTR) plays a critical role in the oxygen-deficient environment of anoxic tumor cells, and its identification is crucial for the diagnosis and treatment of cancer. This research introduces an innovative Surface Enhanced Raman Scattering (SERS) probe, created by attaching p-nitrothiophenol (p-NTP) to gold nanoparticles (Au NPs). This probe leverages the specific enzymatic reaction of NTR in hypoxic status, utilizing decreased NADH. The enzymatic activity of NTR transforms nitroaromatic compounds into aromatic amines, which is then reflected as a measurable shift in the SERS signal of the probe. This novel approach allows for the accurate quantification of NTR, with the sensitivity reaching a detection threshold of less than 0.02 μg/mL. The probe's non-toxic nature and superior biocompatibility facilitate its use for direct SERS investigations in A549 cells under reduced oxygen levels. We also applied this method to xenograft model. The results demonstrate a marked increase in NTR levels in tumor cells and tumor tissues in hypoxic conditions, highlighting the significance of this nanoprobe in enhancing cancer diagnostics, helping medical doctors making treatment decisions more swiftly and effectively.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100229"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786906","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 : 2025-02-01DOI: 10.1016/j.slast.2024.100239
Dulguunnaran Naranbat, Benjamin Phelps, John Murphy, Anubhav Tripathi
Automated liquid handlers are fundamental in modern life science laboratories, yet their high costs and large footprints often limit accessibility for smaller labs. This study presents an innovative approach to decentralizing a liquid handling system by converting a low-cost 3D printer into a customizable and accurate liquid handler. The Personal Automated Liquid Handler (PALH) system, costing ∼$400, incorporates a single-channel pipet, custom 3D-printed components, and open-source software for personalized workflows, allowing researchers to build and modify the system for specific experimental needs. The PALH system was evaluated through common life science assays, including preparing real-time PCR samples, end-point PCR with novel pipet-based downstream purification, and genomic DNA extraction from peripheral whole blood. In real-time PCR experiments targeting the YWHAZ gene, the PALH system demonstrated comparable performance to manual preparation across DNA quantities (1 pg to 100 ng). For end-point PCR, the PALH successfully amplified and purified 204 bp and 406 bp amplicons from a pUC19 vector, yielding concentrations similar to manual methods (5.43 ± 0.85 ng/µL vs. 2.10 ± 0.16 ng/µL for 204 bp; 3.74 ± 2.13 ng/µL vs. 1.51 ± 0.15 ng/µL for 406 bp, respectively). In genomic DNA extraction from whole blood, the PALH system achieved comparable DNA yields to manual extraction (49.52 ± 3.13 ng/µL vs. 48.62 ± 5.9 ng/µL), although at higher purity (260/280 ratio of 1.83 ± 0.07 vs. 1.92 ± 0.03), although both are at acceptable ranges. The open-source nature of the PALH system hopefully encourages further community-driven improvements and protocol sharing, fostering innovation and collaboration within the scientific community. As laboratory automation advances, the PALH system could be crucial in democratizing access to high-quality automated liquid handling, particularly in resource-limited settings.
自动化液体处理器是现代生命科学实验室的基础，但它们的高成本和大足迹往往限制了小型实验室的可及性。本研究提出了一种创新的方法，通过将低成本的3D打印机转换为可定制的精确液体处理器，来分散液体处理系统。个人自动化液体处理（PALH）系统，成本约400美元，包含单通道移液器，定制3d打印组件和用于个性化工作流程的开源软件，允许研究人员构建和修改系统以满足特定的实验需求。PALH系统通过常见的生命科学实验进行评估，包括制备实时PCR样品，采用新型移液管下游纯化的终点PCR，以及从外周血全血中提取基因组DNA。在针对YWHAZ基因的实时PCR实验中，PALH系统在DNA数量（1 pg至100 ng）上表现出与人工制备相当的性能。对于终点PCR， PALH成功地从pUC19载体上扩增和纯化了204 bp和406 bp的扩增子，得到的浓度与手工方法相似（5.43±0.85 ng/µL vs. 2.10±0.16 ng/µL）；分别为3.74±2.13 ng/µL和1.51±0.15 ng/µL （406 bp）。在全血基因组DNA提取中，PALH系统的DNA产率与人工提取相当（49.52±3.13 ng/µL vs. 48.62±5.9 ng/µL），尽管纯度更高（260/280比值为1.83±0.07 vs. 1.92±0.03），尽管两者都在可接受的范围内。PALH系统的开源特性有望鼓励进一步的社区驱动的改进和协议共享，促进科学界的创新和合作。随着实验室自动化的进步，PALH系统对于实现高质量自动化液体处理的民主化至关重要，特别是在资源有限的环境中。
{"title":"How to convert a 3D printer to a personal automated liquid handler for life science workflows","authors":"Dulguunnaran Naranbat, Benjamin Phelps, John Murphy, Anubhav Tripathi","doi":"10.1016/j.slast.2024.100239","DOIUrl":"10.1016/j.slast.2024.100239","url":null,"abstract":"<div><div>Automated liquid handlers are fundamental in modern life science laboratories, yet their high costs and large footprints often limit accessibility for smaller labs. This study presents an innovative approach to decentralizing a liquid handling system by converting a low-cost 3D printer into a customizable and accurate liquid handler. The Personal Automated Liquid Handler (PALH) system, costing ∼$400, incorporates a single-channel pipet, custom 3D-printed components, and open-source software for personalized workflows, allowing researchers to build and modify the system for specific experimental needs. The PALH system was evaluated through common life science assays, including preparing real-time PCR samples, end-point PCR with novel pipet-based downstream purification, and genomic DNA extraction from peripheral whole blood. In real-time PCR experiments targeting the YWHAZ gene, the PALH system demonstrated comparable performance to manual preparation across DNA quantities (1 pg to 100 ng). For end-point PCR, the PALH successfully amplified and purified 204 bp and 406 bp amplicons from a pUC19 vector, yielding concentrations similar to manual methods (5.43 ± 0.85 ng/µL vs. 2.10 ± 0.16 ng/µL for 204 bp; 3.74 ± 2.13 ng/µL vs. 1.51 ± 0.15 ng/µL for 406 bp, respectively). In genomic DNA extraction from whole blood, the PALH system achieved comparable DNA yields to manual extraction (49.52 ± 3.13 ng/µL vs. 48.62 ± 5.9 ng/µL), although at higher purity (260/280 ratio of 1.83 ± 0.07 vs. 1.92 ± 0.03), although both are at acceptable ranges. The open-source nature of the PALH system hopefully encourages further community-driven improvements and protocol sharing, fostering innovation and collaboration within the scientific community. As laboratory automation advances, the PALH system could be crucial in democratizing access to high-quality automated liquid handling, particularly in resource-limited settings.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"30 ","pages":"Article 100239"},"PeriodicalIF":2.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899933","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 : 2025-01-31DOI: 10.1016/j.slast.2025.100249
Pin Wang , Lihong Duan , Congxin Sun , Yu Chen , Yanyan Peng , Guihong Chen , Lixia Wu , Yan Li
Objective
The purpose of this research is to determine if Doppler ultrasonography technology may be used to forecast the onset of bronchopulmonary dysplasia (BPD) in premature babies in the early postnatal stage.
Methods
On days 3, 7, 14, and 28 after delivery, Doppler ultrasonography exams were performed on a prospective cohort of 170 preterm newborns. Measurements were made of parameters such right ventricular output (RVO), systolic-to-diastolic ratio (S/D ratio), pulmonary artery acceleration time (PAAT), and velocity time integral (VTI). The predictive value of these indicators was evaluated using Kaplan-Meier survival analysis and multivariate logistic regression.
Results
The severity of BPD was substantially correlated with all assessed Doppler ultrasound parameters (P < 0.05). With an area under the curve (AUC) of 0.76, PAAT in particular demonstrated a reasonable capacity for prediction. A considerably greater cumulative incidence was found by Kaplan-Meier survival analysis.
Conclusion
In conclusion, Doppler ultrasonography technology is a useful technique for identifying BPD in premature babies early on. High-risk babies can be efficiently identified by PAAT and VTI in particular, allowing for prompt intervention and possibly better results.
{"title":"Early detection of Bronchopulmonary Dysplasia (BPD) in preterm infants using doppler ultrasound technology","authors":"Pin Wang , Lihong Duan , Congxin Sun , Yu Chen , Yanyan Peng , Guihong Chen , Lixia Wu , Yan Li","doi":"10.1016/j.slast.2025.100249","DOIUrl":"10.1016/j.slast.2025.100249","url":null,"abstract":"<div><h3>Objective</h3><div>The purpose of this research is to determine if Doppler ultrasonography technology may be used to forecast the onset of bronchopulmonary dysplasia (BPD) in premature babies in the early postnatal stage.</div></div><div><h3>Methods</h3><div>On days 3, 7, 14, and 28 after delivery, Doppler ultrasonography exams were performed on a prospective cohort of 170 preterm newborns. Measurements were made of parameters such right ventricular output (RVO), systolic-to-diastolic ratio (S/D ratio), pulmonary artery acceleration time (PAAT), and velocity time integral (VTI). The predictive value of these indicators was evaluated using Kaplan-Meier survival analysis and multivariate logistic regression.</div></div><div><h3>Results</h3><div>The severity of BPD was substantially correlated with all assessed Doppler ultrasound parameters (<em>P</em> < 0.05). With an area under the curve (AUC) of 0.76, PAAT in particular demonstrated a reasonable capacity for prediction. A considerably greater cumulative incidence was found by Kaplan-Meier survival analysis.</div></div><div><h3>Conclusion</h3><div>In conclusion, Doppler ultrasonography technology is a useful technique for identifying BPD in premature babies early on. High-risk babies can be efficiently identified by PAAT and VTI in particular, allowing for prompt intervention and possibly better results.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100249"},"PeriodicalIF":2.5,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076524","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 : 2025-01-30DOI: 10.1016/j.slast.2025.100252
Kristopher Amirault , Michael Collins , Luca Beker , Brandon Mills , Martina Werner , Jonathan Andreas , Daniel Hartman , Jordan Dargert , Vanessa Process , Sean Cederlund , Thuy Dao , Linnea Menin , Molly Ferrara , Andrew Briggs , Joshua Shreve , Daniel Metzger , Angela Stout , Erin Deblasi , Jie An , Taylor Jensen , Eugenio Daviso
Comprehensive Genomic Profiling (CGP) has emerged as a progressive standard of care for the understanding clinical oncology and treatment of solid tumors (Conroy, Pabla et al. 2021). By identifying actionable mutations through next-generation sequencing of solid tumors CGP enables targeted therapy decisions. Formalin-fixed paraffin-embedded tissues are notoriously difficult samples in respect to reliably extracting high-quality nucleic acids and sufficient genetic material to meet sequencing input requirements. In this work we present an automated solution for upstream sample processing of solid tumors to enable high throughput and scalable CGP workflows by eliminating bottlenecks and enhancing results. The Sonication STAR automated DNA and RNA methods from FFPE Tissues was created as a collaboration between Hamilton Company, Covaris, and Labcorp and it offers the potential reduction in quantity not sufficient (QNS) samples and sequencing performance improvements resulting in a 16 % increase in fully reported tumor profiles for patients. This automated approach offers potential saving in workflow costs, improved efficiency, and a reduction in re-extraction and re-sequencing of tumors.
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