蜂巢矩阵叶绿素荧光成像系统

HEXAGON-IMAGING-PAM蜂巢矩阵叶绿素荧光成像系统

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产地类别:进口;价格区间:面议;应用领域:环保,食品,生物产业,农业;
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产地类别
进口
价格区间
面议
应用领域
环保,食品,生物产业,农业
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上海泽泉科技股份有限公司

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产品简介

HEXAGON-IMAGING-PAM是德国WALZ公司最新推出的大型蜂巢矩阵叶绿素荧光成像系统。它凭借高精度的脉冲振幅调制(PAM)技术,可以对20×24cm的区域进行成像。分辨率高达1.2 MP(1000 x 1200 px, 2x2 binning技术,实际是2000×2400),像素尺寸3.45 x 3.45 µm。

详细介绍

蜂巢矩阵叶绿素荧光成像系统

HEXAGON-IMAGING-PAM

叶绿素荧光成像系统的六边形战士

精度高,面积大,功能全,应用广,文献多,数据可视化!

header-hexagon-imaging-pam-2560x1440-1086f31d.jpg

HEXAGON-IMAGING-PAM是德国WALZ公司最新推出的大型蜂巢矩阵叶绿素荧光成像系统。它凭借高精度的脉冲振幅调制(PAM)技术,可以对20×24cm的区域进行成像。分辨率高达1.2 MP(1000 x 1200 px, 2x2 binning技术,实际是2000×2400),像素尺寸3.45 x 3.45 µm

超高分辨率的基础是成像区域光场的均匀性,在设计过程中,光源阵列中LED的位置是经过精心布局的,以保证测量区域内无阴影,所有成像区域内的样品均匀照光,样品间的差异可以尽收眼底。大功率LED面板的冷却效果非常好,可以最大限度的延长LED的使用寿命。

增加远红光(FR)LED 面板,可用于测量所研究样品的Fo'值。

HEXAGON-IMAGING-PAM采用蜂巢矩阵式LED面板拼接技术,单个六边形蜂巢矩阵单元之间LED的不平横可以独立补偿,初衷是为实现样品区域的理想照明提供更优选择。

尽管成像区域很大,但是它依然足够灵活,可以测量各种类型的样品,如盆栽植物,穴盘中培养的植物,培养皿上的植物或多孔板中的藻类悬浮液。

滑动门设计,集成安全关闭功能,开门状态下,饱和脉冲的强度会被抑制以保护操作人员的眼睛。

主要功能

l 原位测量:活体植物叶绿素荧光成像,直观显示样品光合作用光能利用差异,可导出彩色图像。

l 成像功能:对Ft、Fo、Fm、Fv/Fm、F、Fm’、Y(II)、Y(NO)、Y(NPQ)、NPQ、qN、qP、qL、PS/50=ETR、Inh等参数进行成像分析。测定调节性能量耗散Y(NPQ),反映植物光保护能力,测定非调节性能量耗散Y(NO),反映植物光损伤程度。

l 程序测量功能:可自动程序测量荧光诱导曲线、快速光曲线和暗弛豫,也可手动测量;在测量过程中能自动分析所有荧光参数的变化趋势;可以预编程进行自定义实验流程,如模拟波动光。

l AOI功能:可在测量前或测量后任意选择感兴趣的区域(AOI),程序将自动对选择的AOI的数据进行变化趋势分析,并在报告文件中显示相关AOI的数据。所有报告文件中显示的数据都可导出到EXCEL文件中。

l 成像异质性分析功能:对任意参数任意时间的成像,可在图像上任意选取两点,软件自动对两点间的数据进行横向异质性分析,并可导出到EXCEL文件中。

l 成像数据范围分析功能:对任意参数任意时间的成像,可分析任意两个荧光数值之间有多少个像素点,多少面积(cm2

l 突变株筛选功能:可跟据成像结果快速筛选光合、产氢/油、抗逆(抗盐、抗旱、抗病等)等突变株。

l 微藻毒理研究功能:可同时测量496孔板,即384个微藻样品(对照和处理组)的光合活性,软件自动给出处理组样品相对于对照组的光合抑制百分比。

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应用领域

l 光合作用研究:可以在*相同的条件下同时对大量样品进行成像

l 植物病理学:病斑部位(包括肉眼不可见时)成像以及病斑扩散的时空动力学

l 植物胁迫生理学:肉眼不可见生物/非生物胁迫损伤的早期检测

l 遗传育种:出苗后大规模快速筛选高光合/抗旱/抗热/抗冻/抗病等植株

l 突变株筛选:快速筛选模式植物的光合突变株、抗逆突变株、产氢微藻突变株等

l 微藻毒理学:不同毒物浓度多个重复的样品一次测完,软件自动计算抑制比率

l 其它多种扩展研究

成像参数

Fo, Fm, F, Ft, Fm', Fv/Fm, Y(II), qL, qP, qN, NPQ, Y(NPQ), Y(NO), PS/50=ETR,Inh.

imagingwingige-software-screenshot-753f5098.png


<strong>蜂巢矩阵叶绿素荧光成像系统</strong>视频二维码.png

产地:德国WALZ

参考文献

数据来源:光合作用文献Endnote数据库,原始数据来源:Google Scholar

注:HEXAGON-IMAGING-PAM为最新产品,暂无文献发表,最新研究成果可参考M-IMAGING-PAM发表文章。

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