AIMC Topic: Automation, Laboratory
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Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.
Journal of clinical pathology
Apr 16, 2019
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...
Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy.
Theranostics
Apr 13, 2019
Maximal resection of tumor while preserving the adjacent healthy tissue is particularly important for larynx surgery, hence precise and rapid intraoperative histology of laryngeal tissue is crucial for providing optimal surgical outcomes. We hypothes...
Automation and artificial intelligence in the clinical laboratory.
Critical reviews in clinical laboratory sciences
Mar 28, 2019
The daily operation of clinical laboratories will be drastically impacted by two disruptive technologies: automation and artificial intelligence (the development and use of computer systems able to perform tasks that normally require human intelligen...
Automated Analytical Measurement Processes Using a Dual-Arm Robotic System.
SLAS technology
Feb 28, 2019
The demand for automation in the analytical laboratory is high. In contrast to well-automated bioscreening and high-throughput and high-content screening processes, analytical measurement procedures are complex in their structure and changing frequen...
Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.
Archives of pathology & laboratory medicine
Feb 20, 2019
CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered by time-consuming manual review of the analytical quality of MS data before release of patient results.
Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots.
SLAS technology
Feb 15, 2019
The advancement of synthetic biology requires the ability to create new DNA sequences to produce unique behaviors in biological systems. Automation is increasingly employed to carry out well-established assembly methods of DNA fragments in a multiple...
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE transactions on bio-medical engineering
Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.
American journal of physiology. Renal physiology
Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Reproducibility of Results
Animals
Male
Diagnosis, Computer-Assisted
Rats
Disease Models, Animal
Mice, Inbred C57BL
Software
Automation, Laboratory
Pattern Recognition, Automated
Phenotype
Species Specificity
Workflow
Female
Humans
Kidney Diseases
Mice, Transgenic
Kidney Glomerulus
Machine Learning
Predictive Value of Tests
Microscopy
Biopsy
Image Interpretation, Computer-Assisted
Automated classification of osteomeatal complex inflammation on computed tomography using convolutional neural networks.
International forum of allergy & rhinology
Aug 11, 2018
BACKGROUND: Convolutional neural networks (CNNs) are advanced artificial intelligence algorithms well suited to image classification tasks with variable features. These have been used to great effect in various real-world applications including handw...
Robotic selection for the rapid development of stable CHO cell lines for HIV vaccine production.
PloS one
Aug 2, 2018
The production of envelope glycoproteins (Envs) for use as HIV vaccines is challenging. The yield of Envs expressed in stable Chinese Hamster Ovary (CHO) cell lines is typically 10-100 fold lower than other glycoproteins of pharmaceutical interest. M...
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