Optical imaging of fluorescent carbon biomarkers using artificial neural networks

Abstract

The principle possibility of extraction of fluorescence of nanoparticles in the presence of background autofluorescence of a biological environment using neural network algorithms is demonstrated. It is shown that the methods used allow detection of carbon nanoparticles fluorescence against the background of the autofluorescence of egg white with a sufficiently low concentration detection threshold (not more than 2 μg/ml for carbon dots 3 μg/ml and for nanodiamonds). It was also shown that the use of the input data compression can further improve the accuracy of solving the inverse problem by 1.5 times.

Mechanically Activated Covalent Organic Framework as Metal Free Photocatalyst for Continuous Flow Fenton-like Degradation of Organic Pollutants and Hexavalent Chromium Reduction

“…17 A relatively narrow peak was also observed at lower wavelength region (~478 nm) corresponding to the water Raman scattering due to the molecular valence vibration of -OH functional group. 28 To validate improved electron-hole separation efficiency, the relaxation pathways of the photoexcited electrons were probed using time resolved emission spectroscopy (TRES). The lifetime decay profiles were fitted with bi-exponential function for both materials indicating two types of relaxation process of the excited electrons (Figure 5b).…”

Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis

“…Intracellular imaging using fluorescent biosensors faces challenges due to time-varying non-linear backgrounds. Artificial neural networks were used to solve the inverse problem of optical biosensing in chicken egg white [ 113 ]. After implementing the artificial neural networks, the optical signal of FNDs was successfully filtered out from the background autofluorescence under low concentrations of FNDs (2–3 µg/mL).…”

Nanodiamonds: The intersection of nanotechnology, drug development, and personalized medicine

“…Each class of diamond has unique surface or structural features that markedly improve their performance as imaging agents compared to clinical and nanoparticle standards ( Fig. 2 ) ( 56 – 59 ). In addition to the improvements in magnetic resonance imaging mentioned in the introduction, a recent breakthrough using FNDs pertained to the sustained labeling of lung stem cells (LSCs) to track their engraftment and regenerative potential after lung tissue injury in a murine model ( 60 ).…”