FilterScan: An Automatic Filter Scanning Microscope

The FilterScan identifies yeast cells on membrane filters in minutes, eliminating the need for time-costly incubations.

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概述

FilterScan在膜过滤器上扫描酵母,比任何其他方法更快地提供质量保证数据

使用FilterScan进行直接成像可对膜过滤器上的每个颗粒进行计数 - 包括可存活但非菌落的酵母 - 大大提高了质量保证测试的准确性

FilterScan系统无需冗长的过滤器孵育和菌落计数,只需几分钟而不是几天即可提供关键结果

优势

保障
确保装瓶设施经过优化以达到最佳性能,确保过滤后的产品不受污染,同时确保红酒质量并减少产品召回

快速
几分钟内即可检测膜过滤器上酵母的存在,而非几天

精确
检测所有酵母细胞,包括活的但非菌落的酵母,减少假阴性结果的可能性

明晰
自动准确的分类图像,并从其他粒子中分离酵母。清晰的酵母细胞图像使得用户快速确认结果

效率
完全自动化测试,无需复杂的样品制备,无需过滤器培养,确保测试准确性

低成本
无昂贵的消耗品及化学品

数据记录
每次扫描自动生成报告轻松共享数据,并保存在Microsoft Excel中

规格

系统

技术指标:
数字全息输显微镜

光源:
Single source, 405 nm

Sample stage:
Automated two-axis with 120 mm of travel, controlled via USB connection

电脑:
PC with Intel Core 7, NVIDIA GeForce or better graphics accelerator card

数据传输:
Gigabit Ethernet port required in the host computer

软件:
HoloScan software (included)

操作系统:
Windows 10, 64-bit

过滤器尺寸:
25mm diameter

Sample tray:
4 x 25mm filters can be loaded in the FilterScan at once

Dimensions & Weight

Microscope:
L x D x H: 406 mm x 391 mm x 348 mm, 25.3 kg

性能:

Resolution:
<0.6 μm

空间采样:
2048 x 2048 pixels (hologram)

Particle classification:
Accurate, automatic cell identification based on deep neural network classification

供电要求:

Input voltage:
Stage: 48V / 3.47A
Camera System: 12V / 3A

Power requirements:
2 x 120VAC

HoloScan software

Examples of the HoloScan software operation are shown here:

The large circle represents the filter, and each square represents one field of view image of the filter being scanned. The green squares represent the images already collected, and the white are yet to be scanned.

Here, the user-defined detection limit has been reached, and the software has given a warning that the filter is contaminated.

Results from the automated classification of the particles detected on the filter. Yeast cells were accurately detected by our custom image classifier.