Real-Time, Automated, Multiobjective, Cloud Computing Whole Slide Imaging Device

被引:0
|
作者
Mallick, Satya Prasanna [1 ]
Adithya, K. S. [1 ]
Sabui, Ratul [1 ]
Naidu, Balu Babu [2 ]
Singh, Ranjeet [3 ]
Babu, Harish [2 ]
Jagadeesh, Gajula [1 ]
Amaresh, K. M. Venkata [2 ]
Gopal, Ram
Sharma, Vandana [4 ]
机构
[1] Indian Inst Technol Hyderabad, Hyderabad 502285, India
[2] Grey Sci Labs Pvt Ltd, Bengaluru 530016, India
[3] Tata Inst Fundamental Res, Hyderabad 500046, India
[4] Indian Inst Technol Hyderabad, Dept Phys, Hyderabad 502285, India
关键词
Imaging; Software; Tablet computers; Lighting; Instruments; Optics; Microscopy; Algorithm design and analysis; auto-focusing; image edge extraction; Laboratory Virtual Instrument Engineering Workbench (LabVIEW); medical and nonmedical; medical optics instrumentation; microscopy; optical design; portable; remotely controlled; whole slide imaging (WSI); LOW-COST; AUTOFOCUS; SYSTEM;
D O I
10.1109/TIM.2023.3265763
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a novel approach to whole slide imaging (WSI) that consists of a uniquely designed, low-cost, single-unit-portable, optically isolated dust-free, onboard mini-computer integrated, fully enclosed WSI scanner device that can be wirelessly controlled through an easy-to-use, intuitive user interface application on an iPad. A Laboratory Virtual Instrument Engineering Workbench (LabVIEW)-based control software interfaces with multiple hardware modules within the device using the queued message handler (QMH) architecture optimized to handle synchronous and parallel real-time processes. The system scans an area of 15 x 15 mm(2) in similar to 5 min at a resolution of similar to 0.25 mu m with a 40x objective lens. With a low weight of 12 kg, the enclosure dimensions being 340 x 265 x 300 mm, and its low cost of building the device makes it more portable and affordable to the intended rural and low-tier medical centers. The instrument incorporates features such as automatic slide loading, slide registration, brightness control, slide scanning, and an autofocus algorithm implementing a unique "convolution-histogram mean value" method to determine the Z-focus map. The work showcases a shift in preprocessing computations to the cloud server and integrating AI/ML tools for advanced database and image processing techniques on a portable device. A nonmedical application of studying plasma science using the instrument has also been presented, demonstrating its wider application in medical and nonmedical fields.
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页数:9
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