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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

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Updated: May 28, 2026

Lensless Fluorescent Microscopy on a Chip
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Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Real-Time Small Retail Product Detection in Low-Light Intelligent Cabinets Under Complex Backgrounds.

Moushiqi Yang1, Junjie Cai2, Yuanyuan Yang3

  • 1Future Technology Academy, Yangtze University, Jingzhou 434023, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an improved YOLOv26 framework for real-time small retail product detection in low-light intelligent cabinets. The enhanced model boosts accuracy and robustness, ensuring efficient product recognition in challenging retail settings.

Failed At:

2026-06-19T13:40:41.765811+00:00

Keywords:
embedding deploymentlow-light detectionmulti-scale feature fusionreal-time detectionretail product detectionsamll object detection

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Last Updated: May 28, 2026

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