Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications

Tonelli, Alessandro; Mangia, Veronica; Candiani, Alessandro; Pasquali, Francesco; Mangiaracina, Tiziana Jessica; Grazioli, Alessandro; Sozzi, Michele; Gorni, Davide; Bussolati, Simona; Cucinotta, Annamaria; Basini, Giuseppina; Selleri, Stefano

doi:10.3390/s21103552

“…We confirmed this by removing the built-in IR filter from a standard RPiV2 and characterizing the spectral response with a visible-NIR spectrometer halogen light source (Figure S1). Python software libraries provided by the Raspberry Pi Foundation( 35 ) provide custom control of image and video acquisition parameters with the option to save 8-bit processed or 10-bit raw Bayer data ( 36 ).…”

Section: Methodsmentioning

confidence: 99%

Global health open-source goggles for fluorescence-guided surgery

Shmuylovich

¹

,

O’Brien

²

,

Nwosu

³

et al. 2022

Preprint

0

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Fluorescence-guided surgery (FGS), coupled with novel near infrared (NIR) fluorescent contrast agents, has significant potential to improve health but in current practice is less suitable for low resource settings. Although there are efforts to simplify FGS systems, technical, economic, and logistic challenges have hampered its global adoption. To overcome these impediments, we developed a low-cost, open-source, battery-powered and fully wearable FGS system called the fluorescence imaging augmented reality Raspberry Pi-based goggle system (FAR-Pi). Compared to current technologies that are expensive, bulky, and wall-powered, FAR-Pi has higher spatial resolution, depth of focus and fluorescence sensitivity. The FAR-Pi system has broad appeal by detecting the diverse fluorescence of NIR contrast agents undergoing clinical trials, as demonstrated by the successful identification of tumors in vivo with LS301, a tumor-targeting NIR contrast agent. As an open-source, inexpensive, and modifiable system, FAR-Pi promises to broaden access to FGS, thereby improving health worldwide.

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TelePi: an affordable telepathology microscope camera system anyone can build and use

Youssef,

Rosenwald,

Rosenfeldt

2023

Virchows Arch

0

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Telepathology facilitates histological diagnoses through sharing expertise between pathologists. However, the associated costs are high and frequently prohibitive, especially in low-resource settings, where telepathology would paradoxically be of paramount importance due to a paucity of pathologists.We have constructed a telepathology system (TelePi) with a budget of < €120 using the small, single-board computer Raspberry Pi Zero and its High-Quality Camera Module in conjunction with a standard microscope and open-source software. The system requires no maintenance costs or service contracts, has a small footprint, can be moved and shared across several microscopes, and is independent from other computer operating systems. TelePi uses a responsive and high-resolution web-based live stream which allows remote consultation between two or more locations. TelePi can serve as a telepathology system for remote diagnostics of frozen sections. Additionally, it can be used as a standard microscope camera for teaching of medical students and for basic research. The quality of the TelePi system compared favorable to a commercially available telepathology system that exceed its cost by more than 125-fold. Additionally, still images are of publication quality equal to that of a whole slide scanner that costs 800 times more.In summary, TelePi is an affordable, versatile, and inexpensive camera system that potentially enables telepathology in low-resource settings without sacrificing image quality.

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Global health open-source goggles for fluorescence-guided surgery

Shmuylovich

¹

,

O’Brien

²

,

Nwosu

³

et al. 2022

Preprint

0

View full text Add to dashboard Cite

Fluorescence-guided surgery (FGS), coupled with novel near infrared (NIR) fluorescent contrast agents, has significant potential to improve health but in current practice is less suitable for low resource settings. Although there are efforts to simplify FGS systems, technical, economic, and logistic challenges have hampered its global adoption. To overcome these impediments, we developed a low-cost, open-source, battery-powered and fully wearable FGS system called the fluorescence imaging augmented reality Raspberry Pi-based goggle system (FAR-Pi). Compared to current technologies that are expensive, bulky, and wall-powered, FAR-Pi has higher spatial resolution, depth of focus and fluorescence sensitivity. The FAR-Pi system has broad appeal by detecting the diverse fluorescence of NIR contrast agents undergoing clinical trials, as demonstrated by the successful identification of tumors in vivo with LS301, a tumor-targeting NIR contrast agent. As an open-source, inexpensive, and modifiable system, FAR-Pi promises to broaden access to FGS, thereby improving health worldwide.

show abstract

Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications

Cited by 4 publications

References 42 publications

Global health open-source goggles for fluorescence-guided surgery

Global health open-source goggles for fluorescence-guided surgery

TelePi: an affordable telepathology microscope camera system anyone can build and use

Global health open-source goggles for fluorescence-guided surgery

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