The OSA Student chapter together with FFF will host a career webinar again, this time with Christian Reimer, Co-founder and Head of Product at HyperLight and OSA Ambassador.
Christian Reimer will give a talk with title: Electro-optics with thin film lithium niobite and what it is like to work at a start-up company.
In the scientific part of his talk, Christian will give an introduction to the field of integrated photonics with thin-film lithium niobate, with a focus on electro-optic applications, as well as recent progress on transforming the field from chip-based proof-of-concept realizations for wafer-scale production.
In the professional development section, he will then share his experience transitioning from academia to a start-up company. He will talk about differences and similarities in the work environment, what to expect in terms of tasks and responsibilities, and explain how salaries at start-ups can include combinations of equity and incentives.
Christian Reimer´s mini bio: Dr. Christian Reimer is a physicist and entrepreneur working in the fields of nonlinear optics, integrated photonics and quantum optics. He received graduate degrees from the Karlsruhe Institute of Technology in Germany, Heriot-Watt University in Scotland, and the National Institute of Scientific Research in Canada. He then worked as a postdoctoral fellow at Harvard University, before becoming Co-Founder and Head of Product of HyperLight Corporation. HyperLight, a Venture-Capital funded start-up out of Harvard University, is specialized on integrated lithium niobate technologies for ultra-high performance photonic solutions.
The webinar will be on the 9th of December at 16:30 via zoom.
A new student chapter of the Optical Society of America (OSA) has been established at the Physics Department of Gothenburg University!
The founding members of the GU-OSA student chapter are students from the Soft Matter Lab, the Biophysics Group, and Optical Levitation Group, all part of the Physics Department of Gothenburg University. The chapter activity started on the autumn semester of 2020 with the online kick-off meeting, where the future plans and activities of the GU-OSA chapter were discussed.
The Optical Society of America (OSA) supports outreach and networking through the student chapters. So far, there are over 370 Student Chapter across the world organising events such as seminars, colloquiums, and outreach activities focused on increasing awareness of the importance of optics in our daily life and society.
FORMA: Force Reconstruction via Maximum-likelihood-estimator Analysis
Laura Pérez García, Jaime Donlucas Pérez, Giorgio Volpe, Alejandro V. Areola & Giovanni Volpe
OSA Biophotonics Congress, Tucson (AZ), USA
16 April 2019
Microscopic force characterization is often done by using a microscopic colloidal particle which probes local forces. These particles are often held by a harmonic trapping potential with stiffness k so that a homogeneous force acting on the particle results in a displacement Δx from the equilibrium position and the force can, therefore, be measured as k Δx . To perform such measurement, it is necessary to determine the value of k , which is often done by measuring the Brownian fluctuations of the particle around its stable equilibrium position. This is achieved by measuring the particle position as a function of time, x (t) , and then using some calibration algorithms; the most commonly employed techniques are the potential analysis that relies on the fact that the force is derived from a potential; and the power spectral density (PSD) and the auto-correlation function (ACF) methods that require a regular sampling in time. Besides the previous requirements, all methods depend on the choice of some analysis parameters. This has inhibited the applicability of force measurement methods to characterize force fields with non-conservative components or where the particle freely explores an extended potential landscape. We propose a method for Force Reconstruction via Maximum-likelihood-estimator Analysis (FORMA) that exploits the fact that in the proximity of an equilibrium position the force field can be approximated by a linear form and, therefore, optimally estimated using a linear Maximum-likelihood-estimator (MLE).
Session: Biological Applications 10:30 AM–12:00 AM, Tuesday, April 16, 2019