Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Adaptive Sampling and Routing in a Floodplain Monitoring Sensor Network
, 2006 We describe the design of a flood warning system which uses a set of sensor nodes to collect readings of water level and a grid-based flood predictor model developed by environmental experts to make flood predictions based on the readings.
De Roure, David +2 more
core
Performance Comparison of Heterogeneous EESAA in Two and Three Dimensional Wireless Sensor Networks [PDF]
, 2016 Wireless Sensor Network is the network of limited power, computational and storage sensing devices called sensors. These sensors sense and send out data to other sensors present in the network. A considerable amount of energy is dissipated in these tasks.
somani, anisha +1 more
core
Plastic Classification Using Optical Parameter Features Measured with the TMF8801 Direct Time-of-Flight Depth Sensor. [PDF]
Sensors (Basel), 2023 Becker CN, Koerner LJ.
europepmc +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image
Sensors, 2019 Hand shape and pose recovery is essential for many computer vision applications such as animation of a personalized hand mesh in a virtual environment. Although there are many hand pose estimation methods, only a few deep learning based algorithms target
Jameel Malik +2 more
doaj +1 more source
Continuous Semi-autonomous Prosthesis Control Using a Depth Sensor on the Hand. [PDF]
Front Neurorobot, 2022 Castro MN, Dosen S.
europepmc +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps
Sensors, 2015 Depth estimation is a classical problem in computer vision, which typically relies on either a depth sensor or stereo matching alone. The depth sensor provides real-time estimates in repetitive and textureless regions where stereo matching is not ...
Jing Liu +3 more
doaj +1 more source
Prediction of Cobb Angle Using Deep Learning Algorithm with Three-Dimensional Depth Sensor Considering the Influence of Garment in Idiopathic Scoliosis. [PDF]
J Clin Med, 2023 Ishikawa Y +12 more
europepmc +1 more source