Towards A Wireless Image Sensor for Real-Time Fluorescence Microscopy in Cancer Therapy.
Rozhan RabbaniHossein NajafiaghdamMicah RoschelleEfthymios Philip PapageorgiouBiqi Rebekah ZhaoMohammad Meraj GhanbariRikky MullerVladimir StojanovicMekhail AnwarPublished in: bioRxiv : the preprint server for biology (2023)
We present a mm-sized, ultrasonically powered lensless CMOS image sensor as a progress towards wireless fluorescence microscopy. Access to biological information within the tissue has the potential to provide insights guiding diagnosis and treatment across numerous medical conditions including cancer therapy. This information, in conjunction with current clinical imaging techniques that have limitations in obtaining images continuously and lack wireless compatibility, can improve continual detection of multicell clusters deep within tissue. The proposed platform incorporates a 2.4×4.7 mm 2 integrated circuit (IC) fabricated in TSMC 0.18 μm, a micro laser diode (μLD), a single piezoceramic and off-chip storage capacitors. The IC consists of a 36×40 array of capacitive trans-impedance amplifier-based pixels, wireless power management and communication via ultrasound and a laser driver all controlled by a Finite State Machine. The piezoceramic harvests energy from the acoustic waves at a depth of 2 cm to power up the IC and transfer 11.5 kbits/frame via backscattering. During Charge-Up, the off-chip capacitor stores charge to later supply a high-power 78 mW μLD during Imaging . Proof of concept of the imaging front end is shown by imaging distributions of CD8 T-cells, an indicator of the immune response to cancer, ex vivo, in the lymph nodes of a functional immune system (BL6 mice) against colorectal cancer consistent with the results of a fluorescence microscope. The overall system performance is verified by detecting 140 μm features on a USAF resolution target with 32 ms exposure time and 389 ms ultrasound backscattering.
Keyphrases
- high resolution
- single molecule
- cancer therapy
- high throughput
- deep learning
- mass spectrometry
- lymph node
- magnetic resonance imaging
- optical coherence tomography
- multiple sclerosis
- high speed
- healthcare
- ms ms
- adipose tissue
- skeletal muscle
- type diabetes
- machine learning
- fluorescence imaging
- health information
- metabolic syndrome
- label free
- early stage
- climate change
- low cost
- photodynamic therapy
- rectal cancer
- high fat diet induced
- contrast enhanced ultrasound
- human health
- childhood cancer
- loop mediated isothermal amplification