Videometer Field Seed Phenotype Imaging System

Videometer Lite adopts an LED strobe light source system, effectively combining 7 wavelength measurements and generating a fused spectral image with a unified spectrum, where each pixel corresponds to a different reflection spectrum. This device includes visible light and NIR near-infrared bands for precise and comprehensive detection of crop phenotypes, plant diseases, and more. This portable Videometer Lite can be mounted on a cart stand for use in the field or handheld, making it a multifunctional imaging platform.

Videometer Field Seed Phenotype Imaging SystemMain functions

Combining the advantages of visible light imaging and spectral imaging

Imaging of seeds and disease phenotypes

Portable design, easy to carry to greenhouse or outdoor use

Standard calibration function, data can be repeated

Experienced experts design software based on application experience, which is easy to operate and solves problems encountered in agricultural applications

Built in color correction

Comes standard with 7 spectral bands and is constantly being upgraded

Product Description

This system can also perform high-throughput imaging measurements on bacteria, fungi, insect eggs, etc. for toxicology or other research, and is used for accurate and comprehensive quality testing of food grains, crops, meat products, and so on. The Videometer system can generate images that can be analyzed using other analysis systems, such as Matlab. Considering that Videometer Lite may need to be frequently taken to greenhouses, fields, or other locations for measurement, it is designed in a portable style.

The working software of VideometerLab Lite is developed by Videometer's powerful bioinformatics and software team, fully considering the needs of practical applications. It is easy to operate and has powerful functions. Videometer is constantly researching and upgrading new algorithms to meet various needs.

The VideometerLab Lite portable seed phenotype multispectral imaging system obtains useful information by measuring the imaging of seeds under 7 different wavelengths (wavelength range 405-850nm) of LED flashes. These images can be analyzed independently or overlaid to create high-resolution color images. Basic integration module, including 7 band multispectral imaging systems. The software can perform color calibration, label recognition, grayscale image conversion, etc.

Application of field multispectral phenotype imaging system

Phenotypic trait analysis/mining, genotype phenotype association

Agricultural breeding

Horticulture, Agricultural Informatics

Fruit quality analysis

Plant Pathology Research

Biomass analysis

Research on Seed Germination

Anti stress research

Directly measured parameters

size

shape

color

Shape and texture

Spectral texture

Spectral components related to surface chemistry

count

Indirect measurement or calculation

Seed purity

Germination percentage

germination rate

Seed vitality

Seed Health

Seed maturity

Seed lifespan, etc

Main Features

Integrated sphere provides uniform and diffuse lighting

Realize spectral imaging and quantitative analysis within 10-15 seconds

7 different wavelengths/light sources

3 million pixels/wavelength, provided, with a resolution of 21 million pixels/frame

Standard equipment includes easy-to-use device calibration

Compared to traditional RGB technology, it has advanced color measurement capabilities

Automatically switch dynamic range according to application requirements

Long lifespan of light source, up to 100000 hours

Enhanced stability of LED light source technology

Powerful exploration software for research

Easy to use conventional application formula construction tool (modeling)

imaging characteristics

Fast and non-destructive testing

Including processing, each sample processing only takes 10-20 seconds

Combined with other destructive technologies

High flexibility measurement

Main focus: repeatability, traceability, durability, and transferability

Technical Specifications

Complete analysis time 10-15 seconds per sample

Power supply: 5 V DC 3 A

Power consumption 300 VA

Environmental temperature operation: 5-40 ℃, storage -5-50 ℃

Environmental humidity 20-90% RH relative humidity, non condensing

Software alternative: Image Processing Toolkit (IPT)

Spectral Imaging Tool Box (MSI)

Spot Tool Box

Equipment size: 270 mm (h) * 240 mm (w) * 200 mm (d)

Weight: 1.1kg

Application of Videometer Field Seed Phenotype Imaging System

Spinach seed testing

Abstract: Seed health testing is very time-consuming and requires extensive testing of the characteristics of pathogenic fungi on seeds. Aarhus University tested a new method using a multispectral vision system to identify surface characteristics of different fungal infections on spinach (Spinach genus). Our research indicates that multispectral imaging with wavelengths between 395-970 nm can be used to distinguish between uninfected spinach seeds and seeds infected with Verticillium wilt, Fusarium, Botrytis cinerea, Fusarium, and Alternaria. The analysis separation based on average pixel intensity, canonical discriminant analysis (CDA), and Jeffries Matusita classification (JM) distance shows that the combination of near-infrared spectroscopy (NIR) and visible spectroscopy (VIS) can identify uninfected seeds from infected seeds in the range of 80-100%. The isolation rate between uninfected and Fusarium infected seeds using only NIR for classification is 26-88%. Alternaria and Fusarium can be distinguished from each other, as well as from Fusarium, Verticillium, and Fusarium. The isolation of Fusarium, Verticillium, and Rhizobium requires further development before practical application.

Figure 1. Average pixel intensity of six types of naturally infected seeds at different wavelengths. The calculation of the average value is based on the ROI of 18 × 18 pixels in multispectral images

The curve shown in Figure 1 displays the average pixel intensity of all six seed categories at 19 different wavelengths. At lower wavelengths (395-505nm), the average intensity of all six categories is below 40. At wavelengths of 850-970 nm, the average values of uninfected and Fusarium infected seeds were higher than other seeds (intensity higher than 110), while the average value of seeds infected with Alternaria was lower than 30. The differences between seeds of the same type indicate that Alternaria has consistent characteristics, with pixel intensities measured by near-infrared wavelengths ranging from 60-120 compared to the genus Alternaria and Botrytis cinerea. The seeds that were not infected and infected with Fusarium were more evenly distributed, but interfered with the other two types (data not shown).

Figure 2. Images of six sets of seeds captured using visible light (550nm) (a) and near-infrared light (890nm) (b). The seeds are divided into six groups, each consisting of three seeds: 1) uninfected seeds, 2) Botrytis cinerea, 3) Fusarium, 4) Fusarium, 5) Verticillium, and 6) Alternaria

In the image representing visible light wavelengths (395-700 nm), all seeds appear black and cannot distinguish the six seed categories (Figure 2a). In the image representing NIR wavelengths (850-970 nm), uninfected seeds and infected seeds can be visually distinguished, except for infected seeds of the genus Fusarium, which appear to be uninfected seeds (Figure 2b). In the reflection distribution patterns of six categories (measured by pixel intensity), the seeds of artificial infection and natural infection were compared (Figure 3). The NIR wavelength is represented by a curve based on 890 nm data. For seeds infected naturally and artificially, three patterns were displayed, with peaks of low (Alternaria), medium (Fusarium, Fusarium, and Verticillium wilt), and high pixel intensity (uninfected and Fusarium) (Figure 3c+d). In the visible light wavelength represented by 550 nm, there are no peaks of low pixel intensity classes for natural and artificially infected seeds (Figure 3a+b).

Figure 3 shows the reflectance distribution of six seed categories: artificially infected seeds captured at 550nm; Natural infected seeds captured by the bay at 550nm; C. Artificially infected seeds are captured at 890nm, while naturally infected seeds are captured at 890nm

The results of pairwise comparison using visible light and near-infrared wavelengths indicate that only 3 out of 15 pairs can be separated among all six seeds (data not shown). Generally speaking, uninfected seeds can be isolated from fungal infected seeds, with only a few seeds having a JM distance between 80-94%. The isolation of Verticillium dahliae, Fusarium oxysporum, and Botrytis cinerea resulted in lower JM values, indicating that they are more difficult to isolate.

The Jefferies Matusita distance based on near-infrared wavelength provides similar results, except for uninfected seeds isolated from Fusarium infected seeds, where JM values range from 26-88% (Table 2). Comparison results were found in the data based on visible light wavelength in Table 3, where the JM distance range for Fusarium infected and uninfected seeds was 92-100%. By comparing the genera Botrytis cinerea, Verticillium dahliae, Fusarium, and Fusarium, values ranging from 14-100% were found (Table 3), indicating that it is more difficult to separate fungal infected seeds from each other when using visible light wavelength as the measurement method.

Beijing BoPu Te Technology Co., LtdWe are the general agent for the Danish Videometer series products in China, responsible for the promotion, sales, and after-sales service of their products in the Chinese market.