A micro imaging device for measuring neural actvities in the mouse deep brain with minimal invasiveness

We have developed an implantable micro imaging device that can observe specific molecules such as neuropsin in the deep brain of a freely-moving mouse with minimal invasiveness. A chemical substance, 4-methylcoumaryl-7-amide (MCA), which reacts with neuropsin and changes to fluorophore, 7-amino-4-methyl coumarin (AMC), is injected by a specially designed cannula employed with the device. The implanted sensor can measure spatio-temporal dynamics of neuropisn through fluorescence of AMC, which is accompanied by specific behavior in artificially induced epilepsy. The damage induced by the implantation of the device has been investigated. Four weeks after the implantation, no connective tissues are observed at the implanted locations and imaging was successfully conducted. Immuno-staining of the brain after the implantation reveals that the damage area is limited in less than 100 µm from the sensor surface.

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“…The CMOS image sensor used in the experiments is the same one described in [4]. The specifications are summarized in Table I.…”

Section: A Device Structurementioning

confidence: 99%

“…Recently, we have developed a micro imaging device that can be implanted into a mouse deep brain and measure brain activities in freely-moving behavior [1]- [4]. The device has different features from any headmountable microscope devices for mouse [5]- [7] in the following points.…”

Section: Introductionmentioning

confidence: 99%

An implantable micro imaging device for molecular imaging in a brain of freely-moving mouse

Sasagawa

Ohta

Motoyama

et al. 2014

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)

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“…To observe the neural activities in the brain, fluorescence measurement is preferred over the electrical detection method because the fluorescence detection method is able to measure a large amount of data over a large area. Jun Ohta et al [ 24 ] developed an implantable CMOS imaging device to record the neural activities in a mouse’s brain with minimal invasiveness. Its black-box approach is shown in Figure 18 .…”

Section: Role Of Cis In Human Body-related Disease Diagnosis Systementioning

confidence: 99%

“…We studied the systems in terms of invasiveness, pixel size, and device size for neural activity measurement. Among them, neural activities measurement [ 24 ] is efficient due to its minimal invasiveness with a pixel size of 7.5 µm to image the neural activities. In addition, two types of image sensors, namely planar and needle type, are introduced.…”

Section: Role Of Cis In Human Body-related Disease Diagnosis Systementioning

confidence: 99%

Human Body-Related Disease Diagnosis Systems Using CMOS Image Sensors: A Systematic Review

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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According to the Center for Disease Control and Prevention (CDC), the average human life expectancy is 78.8 years. Specifically, 3.2 million deaths are reported yearly due to heart disease, cancer, Alzheimer’s disease, diabetes, and COVID-19. Diagnosing the disease is mandatory in the current way of living to avoid unfortunate deaths and maintain average life expectancy. CMOS image sensor (CIS) became a prominent technology in assisting the monitoring and clinical diagnosis devices to treat diseases in the medical domain. To address the significance of CMOS image ‘sensors’ usage in disease diagnosis systems, this paper focuses on the CIS incorporated disease diagnosis systems related to vital organs of the human body like the heart, lungs, brain, eyes, intestines, bones, skin, blood, and bacteria cells causing diseases. This literature survey’s main objective is to evaluate the ‘systems’ capabilities and highlight the most potent ones with advantages, disadvantages, and accuracy, that are used in disease diagnosis. This systematic review used PRISMA workflow for study selection methodology, and the parameter-based evaluation is performed on disease diagnosis systems related to the human body’s organs. The corresponding CIS models used in systems are mapped organ-wise, and the data collected over the last decade are tabulated.

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“…In the present device, the thickness is about 150 μm, but it can be reduced. Figure 10.27 shows a scanning electron microscopic (SEM) image of the fabricated device [37].…”

Section: Brain-implantable Cmos Imaging Devicementioning

confidence: 99%

Implantable CMOS Imaging Devices

Ohta

2014

Implantable Bioelectronics

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A micro imaging device for measuring neural actvities in the mouse deep brain with minimal invasiveness

Cited by 5 publications

References 10 publications

An implantable micro imaging device for molecular imaging in a brain of freely-moving mouse

An implantable micro imaging device for molecular imaging in a brain of freely-moving mouse

Human Body-Related Disease Diagnosis Systems Using CMOS Image Sensors: A Systematic Review

Implantable CMOS Imaging Devices

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