基本信息

更新日期:
版本:
2.1
大小:
19.8 MB
类型:
效率
平台:
iOS
评分:
发布日期:
2016-10-08
价格:
免费
开发者:

应用更新

* Updated for iOS10

NIRScan Nano应用截图

【图】NIRScan Nano(截图1)【图】NIRScan Nano(截图2)【图】NIRScan Nano(截图3)

NIRScan Nano应用简介

This app allows you to connect to the Texas Instruments NIRScan Nano spectroscopy Evaluation Module using Bluetooth Low Energy.

Major features include –
1. Perform Near Infrared (NIR) Spectroscopy scans from 900 – 1700nm and instantly view Reflectance, Absorption, and Intensity data on any iOS Device equipped with BLE.
2. Store and share your raw data in the form of CSV files for analysis with your favorite statistical package.
3. Select from pre-stored Scan Configurations to optimize the NIRScan Nano’s response for your application.

This app should allow you to quickly analyze TI’s NIRScan Nano for your spectroscopy needs. If you are interested in private labeling this app or building your own NIRScan Nano based spectroscopy instrument for your specific application, contact us today!

To order your TI NIRScan Nano EVM, please go to http://www.ti.com/lsds/ti/dlp/advanced-light-control/pattern-rate-less-8khz-nirscan.page .

To learn more about KST’s own DLP-based Spectrometer, Tarsier, please contact us at https://kstechnologies.com/contact/ .

中文翻译

此应用程序允许您使用蓝牙低功耗连接到德州仪器NIRScan纳米光谱评估模块。

主要功能包括-
1.从900 – 1700nm进行近红外 (NIR) 光谱扫描,并在任何配备BLE的iOS设备上即时查看反射率,吸收和强度数据。
2.以CSV文件的形式存储和共享您的原始数据,以便与您最喜欢的统计软件包进行分析。
3.从预先存储的扫描配置中进行选择,以优化NIRScan Nano对您的应用程序的响应。

这个应用程序应该允许您快速分析TI的NIRScan Nano为您的光谱需求。如果你有兴趣在私人标签这个应用程序或建立自己的NIRScan Nano为您的特定应用程序感兴趣,今天联系我们!

要订购您的TI NIRScan Nano EVM,请转到http://www.ti.com/lsds/ti/dlp/ 高级灯光控制/pattern-rate-less-8khz-nirscan.page。

要了解更多关于KST基于DLP的光谱仪Tarsier的信息,请https://kstechnologies.com/contact/ 与我们联系。

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NIRScan Nano应用下载

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应用评论

H0pper

Immediately crashes upon connect with the device. Using iOS 11.3.

9random9

App to connect to NIRscan Nano and capture Near Infrared Spectroscopy scans. The app works well, connecting to the NIRscan Nano, triggerring a scan, and collecting scan. Current and previous scans can be displayed and the graph zoom in and out. Different scan configurations can be selected and device information reported. The captured scans CSV can be emailed. The source code for the app is offered in GitHub