In an article published in ACS Applied Materials & Interfaces, researchers have presented an infrared (IR)-based highly flexible soft optoelectronic sensor with pigmented cladding that is efficient in multimodal sensing.
By Pritam Roy
12 Aug 2022
To find the most suitable denoising method for LiDAR signals, a study published in Sensors compared various single and joint denoising algorithms. The result indicates that the WT-VMD joint algorithm has the best noise reduction effect, the highest signal-to-noise ratio, and can increase LiDAR signal inversion accuracy.
A study published in ACS Photonics discusses how deep learning and conventional optimization-based methods create a new conceptual foundation for freeform optical engineering.
A prototype LED chip-pumped system employing blue phosphor reported by a recently published study in ACS Sustainable Chemistry & Engineering can create full-spectrum warm white light with diminished blue light intensity. The proposed blue phosphor has the potential to accelerate the manufacturing of human-centric WLED lighting.
In a recent study published in the Journal of Physical Chemistry, a team of researchers demonstrated that a controlled molecular surface functionalization technique can be used for detecting a variety of textured gold surfaces.
By Usman Ahmed
11 Aug 2022
In an article published in The Journal of Physical Chemistry C, the researchers presented a novel method to pattern gold nanorods' (GNRs) assemblies on substrates and studied the near-field coupling induced by the aggregation of the nanoparticles.
In a pre-proof article posted in the journal Measurement, researchers reported a novel cavity-enhanced spectroscopy sensing device that operates in the spectral range of 430-450 nm and allows for real-time monitoring and on-site evaluation of nitrogen dioxide (NO2) content in flue gas measurement.
By Pritam Roy
11 Aug 2022
A pre-proof study of Analytica Chimica Acta demonstrates the synthesis of nitrogen-doped carbon dots exhibiting green fluorescence using a one-step hydrothermal process. The as-prepared nitrogen-doped carbon dots have the potential to be used as reliable signals for tracking HS-.
By Usman Ahmed
10 Aug 2022
A new study published in Nature Communications by the research group of Professor Wonshik Choi at the Department of Physics at Korea University demonstrates a lensless, Fourier holographic imaging fiber endoscope that performs label-free imaging of unstained biological tissues. This ultrathin fiber endoscope performs faster and provides a more accurate diagnosis than previous methods.
By Ilamaran Sivarajah
10 Aug 2022
In a pre-proof study from the journal Optics Communications, the researchers present a method for generating linearly frequency swept optical waves using a digital optical phase-locked loop (OPLL).
A study published in Optics and Laser Technology discusses charge-coupled devices (CCD), recent advances in short-pulse laser-induced breakdown effects on CCDs, laser damage effects, the influence of laser parameters on CCDs, and the inherent relationship between laser parameters and damage effects. This research lays the theoretical and experimental foundation for future laser protection measures and photoelectric countermeasure systems.
In a recent study published in Nature Communications, a team of researchers evaluated the variations between Gaussian and lattice light sheets related to beam homogeneity, axial precision, transverse resolution, and photo-bleaching, using computations and experimental measurements on fixed cells.
By Usman Ahmed
10 Aug 2022
A recent study in Nature Communications demonstrates synchronous three-dimensional (3D) imaging of floe sizes and waves from a moving vessel. 3D imaging has the potential to significantly improve the database on the marginal ice zone.
By Usman Ahmed
9 Aug 2022
An Optics Communications pre-proof study proposed a novel optical refractive index sensor design based on electromagnetic multipolar quasi-bound states in the continuum (BICs) to enhance its figure of merit (FOM). This creates opportunities for ultra-high FOM optical refractive index sensing with high sensitivity.
Pre-proof research from Analytical Chimica Acta suggested a method for non-destructive, fast, and accurate classification and identification of textile fibers based on the one-dimensional convolutional neural network (1D-CNN) model and hyperspectral imaging (HSI) technique.