Mac-PIAS is a revolutionary new concept, a Integrated Particle Analysis Software that enables comprehensive management and analysis of particle size distribution data measured by a variety of methods. Mac-PIAS can collect and search an enormous number of data files saved on a PC hard disk or network and then import them for integrated management. Mac-PIAS enables different types of analysis, such as comparing data items with different measured ranges on the same graph, or combining with sieve data between different models.
Are you familiar with any of these situations? Relax, soon they'll all be in the past. |
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1.Data not matching the client's data? |
● Simultaneous data importing between different machine models |
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3.Viewing the whole image of a sample across a wide area |
● Volume and number of particles conversion |
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4. Estimating a mixed balance of raw-material powders from a target powder |
● Reverse mixed ratio inference |
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5.Creating particle size distribution from an electron microscope photograph |
● Macview data statistics |
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Laser diffractometry, sieve, image analysis... Mac-PIAS integrates particle size distribution data obtained using different measurement principles and machines, and manages・analyzes・ compares・predicts. |
Mac-PIAS imports particle size distribution data* obtained from different measurement principles and machines and comprehensively manages them. Different measuring equipment has different format files so that the files are managed separately, or data may be obtained under different measurement principles and processed on a spreadsheet program; whatever the format Mac-PIAS enables integrated management.
Equipped with data file search, Mac-PIAS is able to efficiently collect data saved not only in a PCfs local hard disk, but also throughout a network.
A single data item can be analyzed in various ways including Rosin-Rammler chart and lognormal distribution display.
Data measured by different measurement principles can be compared by converting size class and display format (e.g. volume distribution or number of particle distribution.)
Mixed or reverse mixed ratio inference is possible.
※For data file conversion and advice, please contact us.