The February 2019 Edition of OSSC's Images Newsletter is now available for download.
Upcoming Outreach Event
12 - 14 April
STEAM Career Leadership Conference:
3 Day Leadership Conference for
High School CTE Students
Calling out to all industry supporters, join our conference in connecting students with their future careers. Exhibitors will bring demonstrations, and hands on activities for students throughout the event. The program provides students with industry demonstrations and exhibits, college connections, and non-profit volunteer opportunities to use their skills and build a resume.
Friday, 12 April 9AM - 3PM
Saturday, 13 April 10AM - 5PM
Sunday, 14 April 10AM - 5PM
Spring 2019 courses begin in early April:
Go to the links above to learn more about the courses and programs.
15% discount for OSSC Members on courses
Required for a Certificate.
Laser and Photonics Technology instructors lead hands-on, laboratory-driven classes, utilizing state-of-the-art industrial equipment, based on the industry-guided photonics curricula written by industry professionals. In addition to laboratory skills, students are offered one-on-one support and career advice, including résumé and LinkedIn profile building.
Recent OSSC Meetings
Wednesday 13 March
The Micro Camera Array Microscope —
Enabling gigapixel imaging for behavioral biology
Dr. Mark Harfouche, CEO & Co-Founder,
Abstract: High-throughput optical microscopy is currently transforming the research fields of genetics, drug discovery and neuroscience. Due to challenges with large lens design, no standard microscope can capture more than 50 megapixels per image snapshot, which makes it impossible to simultaneously image at cellular-resolution over a multi-centimeter viewing area (field of view, FOV). To enable cellular resolution imaging over fields of view 10s of cm in diameter, we utilize an array of miniaturized cameras, tiled in a 12x8 configuration collectively called the MCAM. Each camera is individually addressable and controllable to enable rapid acquisition over the fields of view as large as 20cm in diameter providing gigapixel scale images. Preliminary applications for the MCAM are being developed for behavior imaging of zebrafish larvae in collaboration with collaborators at Duke University and Harvard University.
Wednesday 13 February
Advancing Microresonator-Based Photonics Technology at OEWaves
Dr. Andrey Matsko, Chief Technology Officer
Abstract: Crystalline whispering gallery mode resonators (WGMRs) are characterized with kHz optical bandwidths achievable at room temperature. Such a narrow bandwidth enables their applications for generation of high spectral purity signals in both optical and radio frequency spectral domains.For instance, WGMR-based self-injection-locked semiconductor lasers can be created in visible and IR and have characteristics better than any other laser of similar size. As the result, miniature gyroscopes and clocks become feasible. WGMR-based X-Ka-band microwave photonic oscillators are characterized with spectral purity unachievable in both optical and electronic devices of similar form factor. Kerr frequency combs generated in WGMRs pumped with continuous wave light result in generation of femtosecond optical pulses on a chip. The frequency comb integrated with a miniature agile laser can be utilized for optical frequency synthesis. These and other applications will be discussed and analyzed in the presentation.
Venue: St. Gregory Church
Recent VOSA Meeting
Tuesday 12 March
Computational Deep Learning Microscopy
Dr. Yair Rivenson,
Adjunct Professor at UCLA
In recent years, deep learning has redefined the state of the art, surpassing human performance for a myriad of classification and recognition tasks. In this talk, we will discuss the emerging field of application of deep learning for computational microscopy, with the unique challenges and opportunities created by this framework. Amongst the applications, we will demonstrate enhancement of brightfield benchtop microscope images, extending their resolution, depth of field and field of view. We will then demonstrate the use of deep learning to super-resolve beyond the diffraction limit and perform cross-modality imaging in fluorescence microscopy, i.e., transforming an image acquired using one microscope to match an image acquired using a different microscopic imaging modality, while improving the signal-to-noise ratio, throughput, and reducing phototoxicity. We will also discuss the extension of the framework for mobile, smartphone-based, microscopy, matching the imaging performance of a smartphone microscope to a laboratory grade benchtop microscope, eliminating spectral distortions, increasing signal-to-noise ratio and enhancing resolution, even for highly compressed images, that can be used in devices deployed in low resource settings areas. Other than that, we will demonstrate the application of virtual histopathology staining, where a deep network can learn how to digitally stain a single, label-free (unstained), autofluorescent image to match the same image of the tissue section as it would have been histologically stained (for example, using H&E or Masson’s Trichrome stains) and imaged using a brightfield microscope. This technology enables a paradigm shift in the diagnostic workflow, bypassing the laborious and lengthy process of histochemical staining, while allowing tissue preservation. Finally, we’ll demonstrate how deep learning can be used to substantially increase the throughput of coherent (such as holographic) imaging systems and demonstrate some of the opportunities that deep learning brings to that field.