AIMC Topic: Microscopy
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Assessing microscope image focus quality with deep learning.
BMC bioinformatics
Mar 15, 2018
BACKGROUND: Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image analysis with hig...
Computational Sensing of Staphylococcus aureus on Contact Lenses Using 3D Imaging of Curved Surfaces and Machine Learning.
ACS nano
Mar 13, 2018
We present a cost-effective and portable platform based on contact lenses for noninvasively detecting Staphylococcus aureus, which is part of the human ocular microbiome and resides on the cornea and conjunctiva. Using S. aureus-specific antibodies a...
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks.
Scientific reports
Feb 28, 2018
Segmentation of axon and myelin from microscopy images of the nervous system provides useful quantitative information about the tissue microstructure, such as axon density and myelin thickness. This could be used for instance to document cell morphom...
Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.
Journal of clinical microbiology
Feb 22, 2018
Microscopic interpretation of stained smears is one of the most operator-dependent and time-intensive activities in the clinical microbiology laboratory. Here, we investigated application of an automated image acquisition and convolutional neural net...
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.
Journal of medical systems
Feb 17, 2018
Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size and the difficulty towards determining location of Blood Leucocytes. Physical analysis of blood tests...
SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.
IEEE journal of biomedical and health informatics
Feb 8, 2018
Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks...
Leukocyte Image Segmentation Using Novel Saliency Detection Based on Positive Feedback of Visual Perception.
Journal of healthcare engineering
Feb 1, 2018
This paper presents a novel method for salient object detection in nature image by simulating microsaccades in fixational eye movements. Due to a nucleated cell usually stained that is salient obviously, the proposed method is suitable to segment nuc...
Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis: Cape Town Cohort.
The Journal of molecular diagnostics : JMD
Dec 18, 2017
Tuberculosis (TB) diagnosis among sputum-scarce patients is time consuming. Thus, a nonsputum diagnostic alternative is urgently needed. The Mycobacterium tuberculosis-specific transrenal (Tr) DNA from urine is a potential target for TB diagnostics. ...
Logistic Models
Adult
Risk Factors
Male
Universities
Humans
Sensitivity and Specificity
Polymerase Chain Reaction
Aged
Point-of-Care Systems
Sputum
Biomarkers
Cross-Sectional Studies
Multivariate Analysis
Aged, 80 and over
Middle Aged
South Africa
Female
Cohort Studies
Microscopy
Young Adult
HIV Infections
Molecular Diagnostic Techniques
Tuberculosis, Pulmonary
DNA, Bacterial
Mycobacterium tuberculosis
Diagnostic Tests, Routine
Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning.
Biosensors & bioelectronics
Dec 15, 2017
Cell types of erythrocytes should be identified because they are closely related to their functionality and viability. Conventional methods for classifying erythrocytes are time consuming and labor intensive. Therefore, an automatic and accurate eryt...
Egg Excretion does not Increase after Exercise: Implications for Diagnostic Testing.
The American journal of tropical medicine and hygiene
Dec 14, 2017
Children are frequently invited to exercise before micturition, as it is believed that this activity will result in higher egg excretion, and hence, increases sensitivity of microscopic diagnoses. However, the evidence of this recommendation is scan...
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