Life Sciences Vision Technology for Medical Imaging
Life Science Vision Technologies Empower Medical Imaging to Deliver Enhanced Study, Diagnostics & Treatment Possibilities
Advances in vision technologies are creating greater medical imaging possibilities for the accurate study, diagnoses, treatment, and monitoring of certain medical conditions in humans and animals, as well as living organisms and specimens. Vision systems are also allowing for the automation of certain processes, resulting in increased accuracy and efficiencies in the examination room, the lab, and the imaging room. They are leveraged for a wide range of applications, including breast cancer detection, blood count testing, creation of dental prostheses, portable retina inspection, the diagnoses of skin ailments and degenerative diseases, and countless others.
Life Sciences vision technologies in medical imaging have emerged as a critical endpoint for various clinical trials across several applications and medical fields. For example, single-photon emission computerized tomography (SPECT) is a form of nuclear imaging test that uses radioactive substances and a gamma camera to create 3D images. It’s a reliable and non-invasive method for producing images of organs and is often used for clinical trial evaluations.
More recently, advances in non-invasive imaging methods have emerged to detect cancer cells at a molecular level. This powerful microscopy technique with automated image analysis algorithms allows for the distinction between metastatic cancerous and healthy tissue. This vision technology can be used for diagnostic purposes, eliminating the need for invasive biopsies or the use of contrast dye.
Researchers are also leveraging super-resolution microscopy to observe key molecules inside living brain cells in order to study memory formation and the causes of dementia. The super-resolution single-molecule imaging technique offers unprecedented insight into this complex and debilitating disease.
The continued development of life science vision technologies is enhancing the capabilities of a wide variety of medical imaging applications. By streamlining processes and providing deeper insights, these innovative technologies strive to deliver new and improved patient care.
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