SLAS Technology最新文献_第6页

Diagnostic value of rEBUS-TBLB combined distance measurement method based on ultrasound images in bronchoscopy for peripheral lung lesions 基于超声图像的 rEBUS-TBLB 组合距离测量法在支气管镜检查肺周边病变中的诊断价值。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-10-11 DOI: 10.1016/j.slast.2024.100198

Shuhong Guan , Xiaoli Xu , Xiaoqin Zhu , Yunqi Ge , Jun Xie , Jun Zhou

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。

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引用次数: 0

Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation 评估在实验室自动化中应用机械臂的微孔板处理精度。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-10-11 DOI: 10.1016/j.slast.2024.100200

Yoritaka Harazono , Haruko Shimono , Kikumi Hata , Toutai Mitsuyama , Takaaki Horinouchi

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.

廉价的单臂机器人被广泛应用于最新的实验室自动化解决方案中。将单臂机器人作为传送系统集成到不带传送系统的半自动液体分配器中，可作为全自动液体处理系统的廉价替代方案。然而，目前还没有对传送微孔板所需的机械臂位置精度进行定量研究。在本研究中，我们构建了一个由铝制框架和数字量规组成的平台，以方便进行此类测量。通过反复转移微孔板，我们测量了配备定制手指的机械臂的位置重复性。此外，我们还利用该平台为微孔板位置添加了一个人工偏移量，从而评估了可接受的微孔板转移偏差。这些实验结果有望成为选择生物实验室自动化机械臂的基准。此外，复制该装置的所有信息都将公开发布，从而使许多研究人员能够合作并积累知识，希望能对该领域的进步做出贡献。

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引用次数: 0

Advances in synthetic biology 合成生物学的进展。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-10-01 DOI: 10.1016/j.slast.2024.100197

Dr. Shue Wang

引用次数: 0

Development and validation of automated methods for COVID-19 PCR Master Mix preparation 开发并验证 COVID-19 PCR Master Mix 的自动制备方法。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-10-01 DOI: 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

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.

在 SARS-CoV-2 大流行期间，基于聚合酶链反应（PCR）的检测方法被广泛用于人群规模的检测。高通量分子诊断实验室需要高度的流程自动化，以应对巨大的检测需求、快速的周转时间和质量要求。然而，流程开发人员和优化人员往往忽略了制备 PCR 混合母液这一关键步骤。PCR 混合母液的构建依赖于操作员手动移取试剂的技能。手工操作会带来差异、不一致性和浪费，并可能危及数据完整性。为了解决这个问题，我们开发了一种基于液体处理器的解决方案，用于自动、可追溯且符合要求的 PCR 混合母液制备。在这里，我们展示了全自动 PCR 混合母液制备方案可以取代人工移液，即使在诊断环境中也不会影响准确性或精确度。最终，这种方法消除了操作人员造成的浪费，提高了结果质量的一致性。

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引用次数: 0

Exploration of fractional flow reservation score based on artificial intelligence post-processing for coronary artery lesions in patients with diabetes and coronary heart disease 基于人工智能后处理的糖尿病和冠心病患者冠状动脉病变的分流量保留评分探讨

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-21 DOI: 10.1016/j.slast.2024.100196

Mei Li , Likun Zhang , Yingcui Wang , Xiaohong Xu

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.

以专家诊断结果为 "金标准"，评价人工智能识别冠状动脉斑块的有效性；以CAG结果为 "金标准"，评价人工智能识别CAS的有效性；以专家诊断和CAG结果为 "金标准"，评价人工智能识别不同类型斑块对应的狭窄的有效性；以FFR测量结果为 "金标准"，评价人工智能识别心肌缺血的有效性。在上述诊断结果的基础上，研究了FFR与糖尿病合并冠心病患者冠心病差异之间的关系，并探讨了FFR与冠心病差异之间的相关性。

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引用次数: 0

CardioGuard: AI-driven ECG authentication hybrid neural network for predictive health monitoring in telehealth systems CardioGuard：用于远程医疗系统中预测性健康监测的人工智能驱动心电图验证混合神经网络。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-20 DOI: 10.1016/j.slast.2024.100193

Muhammad Jamal Ahmed , Urooj Afridi , Hasnain Ali Shah , Habib Khan , Mohammed Wasim Bhatt , Abdullah Alwabli , Inam Ullah

The increasing integration of telehealth systems underscores the importance of robust and secure methods for patient data management. Traditional authentication methods, such as passwords and PINs, are prone to breaches, underscoring the need for more secure alternatives. Therefore, there is a need for alternative approaches that provide enhanced security and user convenience. Biometric-based authentication systems uses individuals unique physical or behavioral characteristics for identification, have emerged as a promising solution. Specifically, Electrocardiogram (ECG) signals have gained attention among various biometric modalities due to their uniqueness, stability, and non-invasiveness. This paper presents CardioGaurd, a deep learning-based authentication system that leverages ECG signals—unique, stable, and non-invasive biometric markers. The proposed system uses a hybrid Convolution and Long short-term memory based model to obtain rich characteristics from the ECG signal and classify it as authentic or fake. CardioGaurd not only ensures secure access but also serves as a predictive tool by analyzing ECG patterns that could indicate early signs of cardiovascular abnormalities. This dual functionality enhances patient security and contributes to AI-driven disease prevention and early detection. Our results demonstrate that CardioGaurd offers superior performance in both security and potential predictive health insights compared to traditional models, thus supporting a shift towards more proactive and personalized telehealth solutions.

远程医疗系统的集成度越来越高，这凸显了采用稳健安全的方法管理患者数据的重要性。密码和 PIN 码等传统身份验证方法很容易被破解，因此需要更安全的替代方法。因此，需要能提供更高的安全性和用户便利性的替代方法。基于生物特征的身份验证系统利用个人独特的身体或行为特征进行身份验证，已成为一种很有前途的解决方案。具体来说，心电图（ECG）信号因其独特性、稳定性和非侵入性，在各种生物识别模式中备受关注。本文介绍的 CardioGaurd 是一种基于深度学习的身份验证系统，它利用了心电信号--独特、稳定和非侵入性的生物识别标记。该系统采用基于卷积和长短期记忆的混合模型，从心电图信号中获取丰富的特征，并对其进行真假分类。CardioGaurd 不仅能确保安全访问，还能通过分析可能预示心血管异常早期迹象的心电图模式作为预测工具。这种双重功能增强了患者的安全性，并有助于人工智能驱动的疾病预防和早期检测。我们的研究结果表明，与传统模式相比，CardioGaurd 在安全性和潜在的预测性健康洞察力方面都表现出色，从而支持向更加主动和个性化的远程医疗解决方案转变。

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引用次数: 0

Pathological correlation between eosinophils and thyroid nodules based on medical image testing 基于医学影像检测的嗜酸性粒细胞与甲状腺结节的病理相关性。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-19 DOI: 10.1016/j.slast.2024.100189

Mingjie He , Tianqi Zhang , Qing Huang , Xiukai Tang , Biaoliang Wu , Ying Liu

Thyroid nodule is a common thyroid disease, but the study of its pathology and pathogenesis is still limited. As a non-invasive diagnostic method, medical image examination is of great value to study the pathological correlation of thyroid nodules. The purpose of this study was to investigate the expression of eosinophils in medical image examination and the pathological correlation between eosinophils and thyroid nodules. The study analyzed the pathological reports of a group of patients with thyroid nodules examined by medical images and performed corresponding imaging scans or examinations. The imaging data is processed, including image reconstruction, data transmission and other steps, to generate images that can be diagnosed by doctors. Thyroid function and parameters of leukocyte were collected and compared.The serum levels of TT4 and fT4 were observed lower in G2 group, while thyroid stimulating hormone (TSH) was higher compared to G1 group before surgery. Compared to G2 group, eosinophils count and percentage were lower in G1group (p < 0.05) post-surgery and lower ratio of eosinophils count with lymphocyte count (ELR) were observed in G1 group patients (p < 0.05).Elevated TSH is closely related to malignant TN per surgery, while lower ELR suggesting that TN removed thoroughly. Relevant cut-off values required further study to guide the diagnosis, treatment and follow-up of TN.

甲状腺结节是一种常见的甲状腺疾病，但对其病理和发病机制的研究还很有限。医学影像检查作为一种无创诊断方法，对研究甲状腺结节的病理相关性具有重要价值。本研究旨在探讨嗜酸性粒细胞在医学影像检查中的表达以及嗜酸性粒细胞与甲状腺结节的病理相关性。研究分析了一组通过医学影像检查的甲状腺结节患者的病理报告，并进行了相应的成像扫描或检查。成像数据经过处理，包括图像重建、数据传输和其他步骤，生成可供医生诊断的图像。收集甲状腺功能和白细胞参数并进行比较。术前观察发现，G2 组的血清 TT4 和 fT4 水平较低，而促甲状腺激素（TSH）较 G1 组高。与 G2 组相比，G1 组的嗜酸性粒细胞计数和百分比较低（P＜0.05）。

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引用次数: 0

Editorial: Advances in Precise Diagnostics and Personalized Medicine 社论：精确诊断和个性化医疗的进展。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-18 DOI: 10.1016/j.slast.2024.100194

Hui Li , Kun Yin

引用次数: 0

Connexin 43 controls metastatic behavior in triple negative breast cancer through TGFβ1-Smad3-intergin αV signaling axis Based on optical image diagnosis 连接蛋白 43 通过 TGFβ1-Smad3 介导的 αV 信号轴控制三阴性乳腺癌的转移行为基于光学图像诊断的研究

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-17 DOI: 10.1016/j.slast.2024.100190

Yun Fu , Xiaoyin Sun , Qizhi He , Zhangyuan Gu , Xiaoqing Jia , Zhigang Zhuang

Abnormal expression of connexin 43 (Cx43) contributes to the development and progression of cancer. However, its regulation is complex and dependent on the environment. The expression of Cx43 in triple-negative cancer lesions was analyzed by immunohistochemistry and optical coherence tomography using experimental models and clinical samples. The model of TGFβ1-SMad3-in-αv signal axis was established and verified by experiments. The results show that Cx43 plays a key role in the regulation of triple-negative cancer metastasis. In vivo, over-expressed Cx43 decreased tumor volume and inhibited ITGαV, TGF-β1, Smad3 and N-cadherin expressions, but enhanced the E-cadherin. Cx43 had the lowest expression in the TNBC samples, especially in lymph node metastatic TNBC patients and had a negative correlation with ITG alpha V, TGF-β1 and Smad3.The study demonstrated Cx43 controlled metastatic behavior through TGF-β1 -Smad3-ITG αV signaling axis in MDA-MB-231 cells, providing evidence for Cx43’s function in TNBC. The optical image diagnosis method can realize the identification and quantitative evaluation of early cancer triple negative, and provide a new strategy and means for the treatment of cancer triple negative.

附件蛋白 43（Cx43）的异常表达会导致癌症的发生和发展。然而，对它的调控是复杂的，并依赖于环境。研究人员利用实验模型和临床样本，通过免疫组化和光学相干断层扫描分析了三阴性癌症病灶中 Cx43 的表达情况。建立了TGFβ1-SMad3-in-αv信号轴模型并进行了实验验证。结果表明，Cx43在调控三阴性癌转移中起着关键作用。在体内，过度表达Cx43可减少肿瘤体积，抑制ITGαV、TGF-β1、Smad3和N-cadherin的表达，但增强E-cadherin的表达。研究表明，Cx43通过TGF-β1-Smad3-ITG αV信号轴控制MDA-MB-231细胞的转移行为，为Cx43在TNBC中的功能提供了证据。该光学图像诊断方法可实现早期三阴性癌的鉴定和定量评估，为三阴性癌的治疗提供新的策略和手段。

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引用次数: 0

Optical MRI imaging based on computer vision for extracting and analyzing morphological features of renal tumors 基于计算机视觉的光学磁共振成像，用于提取和分析肾肿瘤的形态特征。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2024-09-16 DOI: 10.1016/j.slast.2024.100192

Wu Deng , Xiaohai He , Jia Xu , Boyuan Ding , Songcen Dai , Chao Wei , Hui Pu , Yi Wei , Xinpeng Ren

Computer vision technology is more and more widely used in the market. Target detection and feature extraction are two important auxiliary means of this technique, which are helpful to analyze target motion data. However, in the field of biology, there are some data limitations in the analysis of targets such as bacteria and tumors, which need to be further explored. Optical MRI imaging technology based on computer vision provides a new way to extract and analyze morphological features of renal tumors. In this paper, an optical MRI imaging method based on computer vision is designed and developed for the extraction and analysis of morphological features of kidney tumors. By using optical MRI imaging technology based on computer vision, the morphological characteristics of kidney tumors were extracted by analyzing the optical characteristics and MRI images of kidney tumors, and a simulation model was established to simulate the morphological characteristics of different types of kidney tumors, and feature extraction and analysis were carried out by computer algorithm. Through the analysis of the simulation model, the morphological characteristics of renal tumors were extracted and analyzed, which provided a new and non-invasive method for clinical diagnosis and treatment of renal tumors.

计算机视觉技术在市场上的应用越来越广泛。目标检测和特征提取是该技术的两种重要辅助手段，有助于分析目标运动数据。然而，在生物学领域，对细菌和肿瘤等目标的分析还存在一些数据限制，需要进一步探索。基于计算机视觉的光学核磁共振成像技术为提取和分析肾脏肿瘤的形态特征提供了一种新方法。本文设计并开发了一种基于计算机视觉的光学核磁共振成像方法，用于提取和分析肾脏肿瘤的形态特征。利用基于计算机视觉的光学核磁共振成像技术，通过分析肾脏肿瘤的光学特征和核磁共振图像，提取肾脏肿瘤的形态学特征，并建立仿真模型模拟不同类型肾脏肿瘤的形态学特征，利用计算机算法进行特征提取和分析。通过对模拟模型的分析，提取并分析了肾脏肿瘤的形态学特征，为肾脏肿瘤的临床诊断和治疗提供了一种无创的新方法。

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引用次数: 0