Biomedical Imaging Fundamentals

Related lectures (32)

Page 3 of 4

Explores the application of Poisson processes to the signal-to-noise ratio in optical communication systems.

Provides an overview of ideal detectors, focusing on their theory, noise limitations, and performance metrics in optical detection systems.

Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.

Discusses optimizing SNR through repeated measurements and CNR via experimental parameters selection and error propagation calculations.

Covers the characteristics and applications of ideal detectors in optical detection, focusing on photonic and thermal detectors.

Explores Poisson processes in communication systems, focusing on photodetectors and signal-to-noise ratio calculations.

Covers examples of noise in optical detectors, including avalanche photodiodes and fluorescence correlation spectroscopy.

Explores nonlinear coupling in a beam, covering device fabrication, actuation, detection, noise separation, and signal-to-noise ratio.

Explores imaging cameras' characteristics, spatial resolution, noise sources, and dynamic range for optimal performance in microscopy applications.

Explores different types of noise in electrical systems and their impact on electronic devices.