Algae are a type of single celled or multicellular organisms with important ecological and economic value. Accurate measurement of the number and physiological status of algal cells is often required in algae research to evaluate their growth rate, biomass accumulation, and biochemical composition.
In this regard, the JSY-FL-055 plant cell counter provides a reliable solution for algae research.
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It is suitable for the counting and analysis of all kinds of algae, including cyanobacteria, green algae, etc., and is widely used in environmental science, water quality monitoring, biofuel research and other fields.
20X optical magnification &10 million pixels
20X optical magnification and 10 million pixel high-definition image acquisition capability, so that the instrument can preview and clearly observe the microscopic structure and morphological characteristics of algae cells in real time, capture high-quality algal cell images, provide a reliable field of view for accurate counting and evaluation, but also ensure the clarity and accuracy of the data.
The counting process does not require dye marking
Compared with traditional dye labeling methods, Boboju's plant cell counter uses the self-fluorescence characteristics of algae under a specific light source to identify and count, without additional dye labeling, simplifying the operation process and saving costs.
Automated image acquisition and analysis
The automatic image acquisition and analysis process is realized without manual operation, saving time and labor costs, while ensuring data consistency and reliability.
Advanced image recognition technology and intelligent algorithm
Using advanced image recognition technology and intelligent algorithm, algal cells can be identified and counted quickly and accurately, which improves the efficiency and accuracy of analysis.
Assess morphological characteristics and growth status
In addition to the viability count, the instrument can also evaluate the morphological characteristics and growth state of algal cells, providing more comprehensive data support for algal biology research.
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