AIMC Topic: Spectrum Analysis

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Deep learning in macroscopic diffuse optical imaging.

Journal of biomedical optics
SIGNIFICANCE: Biomedical optics system design, image formation, and image analysis have primarily been guided by classical physical modeling and signal processing methodologies. Recently, however, deep learning (DL) has become a major paradigm in com...

Toward cardiac tissue characterization using machine learning and light-scattering spectroscopy.

Journal of biomedical optics
SIGNIFICANCE: The non-destructive characterization of cardiac tissue composition provides essential information for both planning and evaluating the effectiveness of surgical interventions such as ablative procedures. Although several methods of tiss...

In-line monitoring and endpoint determination of percolation process of herbal medicine using ultraviolet spectroscopy combined with convolutional neural network.

The Journal of pharmacy and pharmacology
OBJECTIVES: As a common step in the herbal medicine production process, percolation usually lacks effective process monitoring methods and is often conducted with fixed process parameters. In this study, an in-line ultraviolet (UV) spectroscopy was u...

Predicting differential ion mobility behaviour using machine learning.

The Analyst
Although there has been a surge in popularity of differential mobility spectrometry (DMS) within analytical workflows, determining separation conditions within the DMS parameter space still requires manual optimization. A means of accurately predicti...

Low-cost smartphone-based LIBS combined with deep learning image processing for accurate lithology recognition.

Chemical communications (Cambridge, England)
A low-cost and multi-channel smartphone-based spectrometer was developed for LIBS. As the CMOS detector is two-dimensional, simultaneous multichannel detection was achieved by coupling a linear array of fibres for light collection. Thus, besides the ...

Compressive recovery of smartphone RGB spectral sensitivity functions.

Optics express
Spectral response (or sensitivity) functions of a three-color image sensor (or trichromatic camera) allow a mapping from spectral stimuli to RGB color values. Like biological photosensors, digital RGB spectral responses are device dependent and signi...

Deep learning in photoacoustic imaging: a review.

Journal of biomedical optics
SIGNIFICANCE: Photoacoustic (PA) imaging can provide structural, functional, and molecular information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal detection deteriorates image quality, and quantitative PAI (QPAI) rema...

Machine learning for direct oxygen saturation and hemoglobin concentration assessment using diffuse reflectance spectroscopy.

Journal of biomedical optics
SIGNIFICANCE: Diffuse reflectance spectroscopy (DRS) is frequently used to assess oxygen saturation and hemoglobin concentration in living tissue. Methods solving the inverse problem may include time-consuming nonlinear optimization or artificial neu...

Accurate deep-learning estimation of chlorophyll-a concentration from the spectral particulate beam-attenuation coefficient.

Optics express
Different techniques exist for determining chlorophyll-a concentration as a proxy of phytoplankton abundance. In this study, a novel method based on the spectral particulate beam-attenuation coefficient (c) was developed to estimate chlorophyll-a con...

[Direct determination for 22 kinds of elements in umbilical cord serum by ICP-MS].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: A method for analysis of 22 kinds of elements in umbilical cord serum by inductively coupled plasma mass spectrometry( ICP-MS) was developed.