AIMC Topic: Microscopy
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Rotation equivariant and invariant neural networks for microscopy image analysis.
Bioinformatics (Oxford, England)
Jul 15, 2019
MOTIVATION: Neural networks have been widely used to analyze high-throughput microscopy images. However, the performance of neural networks can be significantly improved by encoding known invariance for particular tasks. Highly relevant to the goal o...
Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
We present a LSTM (Long Short-Term Memory) based RNN (recurrent neural network) method for predicting human induced Pluripotent Stem (hiPS) cells in the reprogramming process. The method uses a trained LSTM network by time-lapse microscopy images to ...
Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks.
Optics express
May 13, 2019
Lens-free holographic microscopy (LFHM) provides a cost-effective tool for large field-of-view imaging in various biomedical applications. However, due to the unit optical magnification, its spatial resolution is limited by the pixel size of the imag...
Digital pathology and artificial intelligence.
The Lancet. Oncology
May 1, 2019
In modern clinical practice, digital pathology has a crucial role and is increasingly a technological requirement in the scientific laboratory environment. The advent of whole-slide imaging, availability of faster networks, and cheaper storage soluti...
3Dscript: animating 3D/4D microscopy data using a natural-language-based syntax.
Nature methods
Apr 1, 2019
In Vitro Investigation of Potential Anti-Diabetic Activity of the Corm Extract of Hypoxis Argentea Harv. Ex Baker.
Acta pharmaceutica (Zagreb, Croatia)
Dec 1, 2018
The corms of Hypoxis argentea are widely used as a traditional remedy for diabetes mellitus in South Africa. In this study, we investigated the effects of non-toxic concentrations (12.5-100 μg mL-1) of the aqueous extract of H. argentea (HAA) corms o...
Deep learning to predict microscope images.
Nature methods
Nov 1, 2018
A species of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluoresce...
Assessing the Role of Teleoperated Robotic Systems in Biomanipulations - A Case Study on Blastocyst Microinjection.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Blastocyst microinjections, like many other biomanipulation tasks, involve delicate and precise manual control of micropipettes under a microscope. The operations are carried out by highly trained operators who spend hours peering through the binocul...
Fully Convolutional DenseNets for Segmentation of Microvessels in Two-photon Microscopy.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Segmentation of microvessels measured using two-photon microscopy has been studied in the literature with limited success due to uneven intensities associated with optical imaging and shadowing effects. In this work, we address this problem using a c...
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