AIMC Topic: Microscopy

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Single-frame 3D lensless microscopic imaging via deep learning.

Optics express Aug 29, 2022
Since the pollen of different species varies in shape and size, visualizing the 3-dimensional structure of a pollen grain can aid in its characterization. Lensless sensing is useful for reducing both optics footprint and cost, while the capability to...
Neural Networks, Computer Pollen Imaging, Three-Dimensional Microscopy Deep Learning
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Single-exposure height-recovery structured illumination microscopy based on deep learning.

Optics letters Aug 1, 2022
Modulation-based structured illumination microscopy (SIM) is performed to reconstruct three-dimensional (3D) surface topography. Generally speaking, modulation decoding algorithms mainly include a phase-shift (PS) method and frequency analysis techni...
Neural Networks, Computer Lighting Deep Learning Microscopy Algorithms
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A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Accurate segmentation of nuclei is an essential step in analysis of digital histology images for diagnostic and prognostic applications. Despite recent advances in automated frameworks for nuclei segmentation, this task is still challenging. Specific...
Cell Nucleus Histological Techniques Microscopy Deep Learning Neural Networks, Computer
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Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
We use deep learning methods to predict human induced pluripotent stem cell (hiPSC) formation using time-lapse brightfield microscopy images taken from a cell identified as the beginning of entered into the reprogramming process. A U-net is used to s...
Induced Pluripotent Stem Cells Time-Lapse Imaging Microscopy Humans Time Factors Deep Learning
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Detection of live breast cancer cells in bright-field microscopy images containing white blood cells by image analysis and deep learning.

Journal of biomedical optics Jul 1, 2022
SIGNIFICANCE: Circulating tumor cells (CTCs) are important biomarkers for cancer management. Isolated CTCs from blood are stained to detect and enumerate CTCs. However, the staining process is laborious and moreover makes CTCs unsuitable for drug tes...
Female Breast Neoplasms Neural Networks, Computer Humans Leukocytes Deep Learning Microscopy
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[Digital pathology].

Ugeskrift for laeger Jun 20, 2022
Digitalisation of pathology slides allows pathologists to make diagnoses using a high-resolution computer screen instead of a conventional microscope. In 2020/21, the four pathology departments in the Region of Southern Denmark implemented digital pa...
Image Interpretation, Computer-Assisted Artificial Intelligence Microscopy Workflow Humans
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Context-aware learning for cancer cell nucleus recognition in pathology images.

Bioinformatics (Oxford, England) May 13, 2022
MOTIVATION: Nucleus identification supports many quantitative analysis studies that rely on nuclei positions or categories. Contextual information in pathology images refers to information near the to-be-recognized cell, which can be very helpful for...
Neoplasms Humans Cell Nucleus Software Microscopy Neural Networks, Computer Algorithms
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The Delta Robot-A long travel nano-positioning stage for scanning x-ray microscopy.

The Review of scientific instruments Apr 1, 2022
A new stage design concept, the Delta Robot, is presented, which is a parallel kinematic design for scanning x-ray microscopy applications. The stage employs three orthogonal voice coils, which actuate parallelogram flexures. The design has a 3 mm tr...
X-Rays Computer Simulation Radiography Microscopy Robotics
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In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.

Journal of biomedical optics Apr 1, 2022
SIGNIFICANCE: There have been numerous academic and commercial efforts to develop high-resolution in vivo microscopes for a variety of clinical use cases, including early disease detection and surgical guidance. While many high-profile studies, comme...
Artificial Intelligence Intravital Microscopy Microscopy Forecasting
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Morphological components detection for super-depth-of-field bio-micrograph based on deep learning.

Microscopy (Oxford, England) Jan 29, 2022
Accompanied with the clinical routine examination demand increase sharply, the efficiency and accuracy are the first priority. However, automatic classification and localization of cells in microscopic images in super depth of Field (SDoF) system rem...
Algorithms Microscopy Deep Learning
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