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Address: No. 1759, Mingxi Road, Beihu Science and Technology Development Zone, Changchun City
Lambda Micro-Hyperspectral Imaging System
- Product Description
- Parameter Introduction
- Precautions
-
Product Performance
Instrument model
Lambda-VN
Lambda-VNS
Lambda-Nir
Spectral range
420–1000 nm
420–1000 nm
1150~1650 ±5 nm
Spectral resolution
10nm
10nm
20nm
Number of spectral channels
>100
>100
32/64
Standard lens
Focal length (mm)
25 (other focal lengths available*1)
25 (other focal lengths available*1)
35 (other focal lengths available *2)
Working distance (mm)
150 to infinity
150 to infinity
300 to ∞
Field of view
19°
23°
15.6°
Probe
2048×2048 CMOS
2048×2048 CMOS
640×512 InGaAs FPA
Number of pixels (spatial dimension × scanning dimension)
1600×1200 (1X)
800×600 (2X)1600×1200 (1X)
800×600 (2X)640×512
Pixel size
5.5 × 5.5 μm
6.5 × 6.5 μm
15×15 μm
Digital output
10bit
12bit
14bit
Frame rate
28 μs – 1 s
10 μs – 10 s
10 μs – 1 s
Built-in computer interface
USB3.0 + HDMI
USB3.0 + HDMI
USB3.0 + HDMI
Lens mount
C-Mount
C-Mount
C-Mount
System power
DC 16.8V
DC 16.8V
DC 16.8V
Built-in microprocessor
i7 processor, 16GB RAM, 256GB SSD
i7 processor, 16GB RAM, 256GB SSD
i7 processor, 16GB RAM, 256GB SSD
Built-in battery
65Wh
65Wh
65Wh
System power consumption
45W
60W
60W
Note:
*¹: 16mm, 35mm, 50mm; other options available upon inquiry.
*²: 9mm, 15mm, 22mm, 56mm; other sizes available upon inquiry.
Camera features
Lens integration It can be directly integrated with imaging lenses or microscopes that have standard C-mount interfaces, enabling rapid acquisition of spectral images (mapping).
Automatic collection Supports automatic exposure, automatic scan speed matching, and automatic data acquisition and storage.
Real-time calibration and model computation Includes over 25 index models for water bodies, vegetation, and other features, and supports real-time data calibration and model computation.
Auxiliary monitoring Equipped with an auxiliary viewfinder camera for real-time monitoring of the shooting area;
Built-in power supply Built-in battery, supports standalone operation;
Data correction function Supports radiance correction, reflectance correction, regional correction, lens calibration, and uniformity calibration.
Lens compatibility The lens can be flexibly replaced;
Software compatibility : The data format is perfectly compatible with professional analysis software such as Envi and SpecSight.
Spectral Matching Search Supports real-time spectral matching search functionality for targets;
Wireless remote control Built-in WiFi supports wireless remote control operation via Android smartphones, iPads, and iPhones.
Remote transmission Gigabit Ethernet interface, supporting long-distance image transmission and remote control operation.
Application Cases
Biomedical field:
It can be applied to the identification of tumor cells, differentiation of hemorrhagic polyps, recognition of leukoplakia, screening for lymphocytic leukemia, distinction between cytoplasm and nucleus, and counting of cell numbers, among other applications.
Rapid Identification of Hemorrhagic Polyps and Leukoplakia Areas in the Laryngeal Mucosa Based on Microscopic Hyperspectral Imaging (Red Areas)
High-spectral microscopic identification of tumor location and the spread of abnormal cells under a 20x eyepiece.
Rapid differentiation of nuclei, cytoplasm, and other cellular components based on microscopic hyperspectral imaging. Cell numbers were calculated according to the centroid positions of the cytoplasm (a total of 402 cells).
Dark-field scattering nanoparticle detection
Dark-field microscopy is a specialized microscopic technique that employs dark-field illumination to prevent light unrelated to the object being observed from entering the objective lens, thereby producing sharp outlines of the object against a dark background. Using this method, it is possible to visualize particles as small as 4 to 200 nanometers, with a resolution up to 50 times higher than that achieved by conventional bright-field microscopy. Microscopes equipped with hyperspectral imaging systems can further identify the types of these tiny particles.
The figure shows VNIR hyperspectral imaging of lung tissue from mice following a single intratracheal instillation of low (18 pg) and high (162 pg) doses of nano-titanium dioxide, used to identify the locations where particles are retained in these tissues.
Dark-field image of tissue exposed to nano-titanium dioxide (top image)
Dark-field hyperspectral imaging of tissues exposed to nano-TiO₂ identified these nanoparticles, which appeared as aggregates of white inclusions (middle image).
In these organizations, nano-titanium dioxide appears as red dots or aggregates in the hyperspectral images (see figure below).
OLED Display Light Emission Test
The microscopic hyperspectral imaging system, equipped with eyepieces of different magnifications, can capture luminescent images of OLED displays with higher spatial resolution. Leveraging the “image-spectrum integration” feature of hyperspectral image data, it enables the detection of the uniformity and stability of OLED display luminescence.
Check the luminescence of the OLED display under 20X, 50X, and 100X magnification.
Chip materials, defect detection
Non-contact, non-destructive, and rapid and accurate micro-area measurement technology can operate at room temperature and also enable online measurements during production. It allows for the acquisition of PL mapping across the entire wafer, providing crucial information on the compositional ratios of substrates or epitaxial layers, defect distribution, and the micro-area uniformity of other material properties. Based on microscopic hyperspectral imaging technology, it is possible to distinguish, at a fine scale, variations in the material composition of wafers as well as changes in the concentration of luminescent centers within samples.
Images and spectra of wafers implanted with boron, aluminum, and special materials without implantation, captured using a microscopic hyperspectral imaging system.
Applications in Perovskite Crystals
Compared with traditional detection techniques such as confocal microscopy, the microscopic hyperspectral imaging system offers the following advantages in detecting inhomogeneities in perovskite crystal materials: it enables single-shot imaging of the entire field of view; in PL imaging experiments, the excitation light source provided by this system exhibits a uniform intensity distribution across the field of view; and it can provide quantitative measurements of spectral intensity.
Perovskite PL data. Figures (a) and (b) show two separate monochromatic PL images taken at 625 nm and 750 nm, respectively.
Figure (c) shows the spectra at different positions in Figure 1.
Figure (d) shows the frequency-shift imaging map of the PL spectrum for the specified region.
Applications on LED/OLED light source displays
Microscopic hyperspectral technology is gradually being applied in the testing of semiconductor materials and devices. Currently, microscopic hyperspectral imaging technology is primarily used for studying the uniformity of luminescence in semiconductor materials, detecting and analyzing defects in semiconductor materials, and mapping the spatial distribution of surface temperatures on LED chips.
Microscopic Hyperspectral Inversion of Temperature for Different LED Light Source Panels
Application areas
1. Biomedical field
2. Dark-field scattering nanoparticle detection
3. OLED Display Light Emission Test
4. Chip material
5. Defect Detection
6. Applications in Perovskite Crystals
7. Applications on LED/OLED light source displays
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