Our Technology

miDiagnostics wants to bring miniaturized, rapid, easy-to-use, lab-quality tests with built in connectivity direct to the patient and clinician.

nanoFluidic Processor

At the heart of miDiagnostics’ technology is a nanoFluidic Processor (nFP), designed to allow for high-precision, fast test results and enabling widespread use at a low cost.

Production of this next-generation technology can be scaled up at speed, depending on the demand, due to the use of existing, standard silicon chip manufacturing processes.

The miniaturized processor on a silicon chip houses a network of microchannels, made with nanometer precision. These channels enable fluidic operations such as pumping, valving, mixing, and volume metering.

Various diagnostic tests can be performed on fluids which are guided through the system by capillary forces and can redirect liquids, even reversing their direction. Depending on the application, the nFP can be reconfigured, enabling nanofluidic processing and ultra-fast PCR, allowing virtually any biomarker to be processed: from cells and proteins to nucleic acids and small molecules.

It was initially developed by imec, the world-leading R&D and innovation hub, with the expertise of Johns Hopkins University, the leading US research and medical centre.

How it Works

How it works.

Silicon nFP

Silicon nFP chip processes a small sample via a miniaturised network of channels

Test Card

Disposable test card embedded with silicon chip. Small sample size – blood / nasal swab

Reader

Multiple use, portable reader.
Reads the test card, processes data and ensures wireless connectivity

Personal Device

User friendly interface compatible with desktop, laptop, tablet and mobile phone

Watch how it works

View our animated film which explains how our technology works.

Ultimate Connectivity.

Secure cloud platform & data analytics services, enabling connectivity to a reference lab, patient medical records, ministry of health and global healthcare systems.

Intellectual Property

miDiagnostics’ has a strong IP portfolio, based on our transformative nFP technology.

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Patent Families

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Proprietary Patent Families

With > 60 national filing

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Licensed Patent Families
Publications

We are committed to the highest quality research and frequently share our findings in peer-reviewed publications to enable high level and independent scientific scrutiny.

Key publications we have authored or co-authored

Complete Blood Count

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications

Haeffele B, Vidal R, “Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications” in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 42, no. 06, pp. 1468-1482, 19 February 2019. doi: 10.1109/TPAMI.2019.2900306

Complete Blood Count

Users beware! Biological variation in complete blood counts over short time intervals

DeLuca A, Betz J, Bollinger R, Ray S, Manabe Y. Users beware! Biological variation in complete blood counts over short time intervals. BMJ Evid Based Med. 2019 Dec;24(6):207-208. doi: 10.1136/bmjebm-2018-111150. Epub 29 May 2019. PMID: 31142555.

Complete Blood Count

Impact of Point-of-Care Diagnostics on Clinical Decision-making in Low- and Middle-Income Countries

DeLuca A, Betz J, Bollinger R, Ray SC, Manabe YC, Impact of Point-of-Care Diagnostics on Clinical Decision-making in Low- and Middle-Income Countries, The Journal of Applied Laboratory Medicine, Volume 3, Issue 3, 1 November 2018, Pages 456–459

Complete Blood Count

Multi-cell Detection and Classification Using a Generative Convolutional Model

Yellin F, Haeffele B D, Roth S and Vidal R. Multi-cell Detection and Classification Using a Generative Convolutional Model. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, 17 December 2018, pp. 8953-8961, doi: 10.1109/CVPR.2018.00933.

Complete Blood Count

Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding

Yellin F, Haeffele B D and Vidal R. Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, 19 June 2017, pp. 650-653, doi: 10.1109/ISBI.2017.7950604.

Complete Blood Count

Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding

Haeffele BD, Roth S, Zhou L and Vidal R. Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, VIC, 19 June 2017, pp. 741-744, doi:10.1109/ISBI.2017.7950625.

Complete Blood Count

Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery

Haeffele B D, Stahl R, Vanmeerbeeck G, Vidal R. Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery. Springer, Cham. In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. MICCAI 4 September 2017. https://doi.org/10.1007/978-3-319-66185-8_13. Lecture Notes in Computer Science, vol 10434.

Complete Blood Count

Generative optical modeling of whole blood for detecting platelets in lens-free images

Haeffele BD, Pick C, Lin Z, Mathieu E, Ray SC, Vidal R. Generative optical modeling of whole blood for detecting platelets in lens-free images. Biomed Opt Express. 5 March 2020;11(4):1808-1818. doi: 10.1364/BOE.382280. PMID: 32341849; PMCID: PMC7173916.

Molecular Diagnostics

Ultra-fast, sensitive and quantitative on-chip detection of group B streptococci in clinical samples

Cai Q, Fauvart M, Wiederkehr RS, Jones B, Cools P, Goos P, Vaneechoutte M, Stakenborg T. Ultra-fast, sensitive and quantitative on-chip detection of group B streptococci in clinical samples, Talanta, Volume 192, 15 January 2019, Pages 220-225, ISSN 0039-9140,

Molecular Diagnostics

Rapid and sensitive detection of viral nucleic acids using silicon microchips

Powell L, Wiederkehr RS, Damascus P, Fauvart M, Buja F, Stakenborg T, Ray SC, Fiorini P, Osburn WO.  Rapid and sensitive detection of viral nucleic acids using silicon microchips. Analyst. 1 May 2018; 143(11), pp.2596–2603.

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