AIMC Topic: Interferometry

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Dual-wavelength interferogram decoupling method for three-frame generalized dual-wavelength phase-shifting interferometry based on deep learning.

Journal of the Optical Society of America. A, Optics, image science, and vision Mar 1, 2021
In dual-wavelength interferometry, the key issue is how to efficiently retrieve the phases at each wavelength using the minimum number of wavelength-multiplexed interferograms. To address this problem, a new dual-wavelength interferogram decoupling m...
Humans Algorithms Deep Learning Erythrocytes Interferometry
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Low coherence quantitative phase microscopy with machine learning model and Raman spectroscopy for the study of breast cancer cells and their classification.

Applied optics Feb 10, 2019
Early-stage detection of breast cancer is the primary requirement in modern healthcare as it is the most common cancer among women worldwide. Histopathology is the most widely preferred method for the diagnosis of breast cancer, but it requires long ...
Humans Machine Learning Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms ROC Curve Spectrum Analysis, Raman Microscopy, Interference Interferometry
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Micro-scale fiber-optic force sensor fabricated using direct laser writing and calibrated using machine learning.

Optics express May 28, 2018
Fiber-optic sensors have numerous existing and emerging applications spanning areas from industrial process monitoring to medical diagnosis. Two of the most common fiber sensors are based on the fabrication of Bragg gratings or Fabry-Perot etalons. W...
Neural Networks, Computer Machine Learning Writing Fiber Optic Technology Equipment Design Lasers Calibration Equipment Failure Analysis Refractometry Physical Phenomena Interferometry
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