AIMC Topic: Microscopy

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Practical machine learning for disease diagnosis.

Cell reports methods Oct 25, 2021
Deep learning neural networks are a powerful tool in the analytical toolbox of modern microscopy, but they come with an exacting requirement for accurately annotated, ground truth cell images. Otesteanu et al. (2021) elegantly streamline this process...
Humans Neural Networks, Computer Machine Learning Deep Learning Microscopy
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Deep learning for bone marrow cell detection and classification on whole-slide images.

Medical image analysis Oct 16, 2021
Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of BM examination, holds the most fundamental and crucial information. However, ...
Deep Learning Bone Marrow Cells Microscopy
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Effectiveness of Create ML in microscopy image classifications: a simple and inexpensive deep learning pipeline for non-data scientists.

Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology Oct 14, 2021
Observing chromosomes is a time-consuming and labor-intensive process, and chromosomes have been analyzed manually for many years. In the last decade, automated acquisition systems for microscopic images have advanced dramatically due to advances in ...
Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Microscopy
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Yeast cell segmentation in microstructured environments with deep learning.

Bio Systems Oct 9, 2021
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data. The challenge is exasperated in the setting of microstructured environments. While deep learning approaches have proven useful for genera...
Neural Networks, Computer Deep Learning Microscopy Saccharomyces cerevisiae
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A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies.

Biomedical journal Oct 7, 2021
Time-lapse microscopy images generated by biological experiments have been widely used for observing target activities, such as the motion trajectories and survival states. Based on these observations, biologists can conclude experimental results or ...
Humans Algorithms Deep Learning Microscopy
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Quantitative neuronal morphometry by supervised and unsupervised learning.

STAR protocols Sep 30, 2021
We present a protocol to characterize the morphological properties of individual neurons reconstructed from microscopic imaging. We first describe a simple procedure to extract relevant morphological features from digital tracings of neural arbors. T...
Machine Learning Software Animals Image Processing, Computer-Assisted Neurons Zebrafish Microscopy
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A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

IEEE transactions on nanobioscience Sep 30, 2021
This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato tubers for plant cell analysis in deep learning (DL) framework which has huge potential in the advancement of plant cell biology research. Indeed, low-...
Databases, Factual Deep Learning Image Processing, Computer-Assisted Microscopy
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Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images.

IEEE transactions on medical imaging Sep 30, 2021
Cell or nucleus detection is a fundamental task in microscopy image analysis and has recently achieved state-of-the-art performance by using deep neural networks. However, training supervised deep models such as convolutional neural networks (CNNs) u...
Neural Networks, Computer Image Processing, Computer-Assisted Supervised Machine Learning Microscopy
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Evaluation of Scopio Labs X100 Full Field PBS: The first high-resolution full field viewing of peripheral blood specimens combined with artificial intelligence-based morphological analysis.

International journal of laboratory hematology Sep 21, 2021
BACKGROUND: Current digital cell imaging systems perform peripheral blood smear (PBS) analysis in limited regions of the PBS and require the support of manual microscopy without achieving full digital microscopy. We report a multicenter study that va...
Humans Artificial Intelligence Reproducibility of Results Image Processing, Computer-Assisted Microscopy Blood Cell Count Blood Cells
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Deep-learning on-chip light-sheet microscopy enabling video-rate volumetric imaging of dynamic biological specimens.

Lab on a chip Sep 14, 2021
Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here we report that throug...
Animals Deep Learning Larva Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy Drosophila
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