Mr. Michael T. Melle Profile

Michael T. Melle

Product Manager - Imaging at Teledyne Princeton Instruments

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Proceedings Article | 12 April 2021 Presentation

Teledyne Imaging: Next Generation Large Area CMOS

Michael Melle

Proceedings Volume 11760, 117600C (2021) https://doi.org/10.1117/12.2597624

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Teledyne Imaging, part of Teledyne Technologies, has released a new and innovative CMOS sensor technology, LACera™. LACera, large area CMOS, is a significant step forward in CMOS capabilities for advanced imaging which will enable the next generation of scientific discovery. Exclusively developed by Teledyne Imaging, LACera advanced imaging technology draws on Teledyne's decades of expertise in CMOS sensor and camera development. Applications as diverse as next generation genomics, astronomical photometry, ultra-high-resolution x-ray and electron imaging require CMOS sensors and cameras with low light sensitivity and speed. LACera CMOS technology delivers greater than 90% quantum efficiency and proprietary low noise architecture with up to 18-bit readout – a combination of performance not previously available in wafer scale sensors. The first implementation of LACera in a commercial product is found in the COSMOS™ family of scientific cameras. COSMOS delivers deep-cooled, low-noise performance on a multi-megapixel scale, with global shutter, 18-bit readout, and glow reduction technology. COSMOS addresses many of the challenges of today's CMOS technology by maintaining performance when scaling to larger formats and combining speed and low noise. COSMOS is available from 3k x 3k to 8k x 8k sensor sizes, with large 10 micron pixels for maximum field of view. COSMOS large array cameras provide >90% peak quantum efficiency for high sensitivity and over 50 fps for capturing dynamic events. Other benefits include 0.7 e- read noise for detection of faint objects, and deep cooling to ensure low dark current. An advanced pixel structure allows for true global shutter alongside back-illuminated CMOS. This product introduction session will provide detailed information about LACera and COSMOS. Please join us to hear about this exciting and innovative technology and visit www.largeareaCMOS.com for more information.

Proceedings Article | 5 March 2021 Open Access

Teledyne Princeton Instruments - Teledyne Imaging: Introducing ground-breaking advancements in sensor and camera technology

Michael Melle, Emma McCarthy

Proceedings Volume 11716, 117162F (2021) https://doi.org/10.1117/12.2596077

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CCD and CMOS technology are well established, but over the past two decades there has been a shift from CCD towards CMOS devices, in particular for scientific applications tackling low-light and relatively short exposure times. Although CCD technology is still advantageous for applications such as spectroscopy and astronomy, it is limited by relatively higher read noise and slow readout speed. CMOS technology can overcome these limitations, however scaling this to larger formats has hit technology limits, resulting in slower or noisier products. At Teledyne Imaging, we have combined the benefits of CCD-like technology with the advantages of CMOS sensor architecture to create the ultimate CMOS imaging experience. The newly developed LACera™ technology provides deep-cooled, low-noise performance on a large sensor area, with global shutter, high dynamic range, and glow reduction technology all within one sensor. This technology has also been integrated into an astronomy optimized, large format CMOS camera called COSMOS. Combining all of the advantages of LACera™ technology into one fully integrated device, the COSMOS is advantageous for astronomy applications requiring faster frame rates, high sensitivity and low noise, all while offering large sensor areas for multiple object capture per frame.

Proceedings Article | 7 May 2012 Paper

Adaptive smoothing in real-time image stabilization

Shunguang Wu, David Zhang, Yuzheng Zhang, James Basso, Michael Melle

Proceedings Volume 8399, 83990L (2012) https://doi.org/10.1117/12.918737

KEYWORDS: Cameras, Video, Motion models, Motion estimation, Optical filters, Video processing, Image processing, Digital signal processing, Visualization, Filtering (signal processing)

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When using the conventional fixed smoothing factor to display the stabilized video, we have the issue of large undefined black border regions (BBR) when camera is fast panning and zooming. To minimize the size of BBR and also provide smooth visualization to the display, this paper discusses several novel methods that have demonstrated on a real-time platform. These methods include an IIR filter, a single Kalman filter and an interactive multi-model filter. The fundamentals of these methods are to adapt the smoothing factor to the motion change from time to time to ensure small BBR and least jitters. To further remove the residual BBR, the pixels inside the BBR are composited from the previous frames. To do that, we first store the previous images and their corresponding frame-to-frame (F2F) motions in a FIFO queue, and then start filling the black pixels from valid pixels in the nearest neighbor frame based on the F2F motion. If a matching is found, then the search is stopped and continues to the next pixel. If the search is exhausted, the pixel remains black. These algorithms have been implemented and tested in a TI DM6437 processor.

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