Filter
Associated Lab
- Aso Lab (3) Apply Aso Lab filter
- Betzig Lab (1) Apply Betzig Lab filter
- Bock Lab (2) Apply Bock Lab filter
- Branson Lab (3) Apply Branson Lab filter
- Card Lab (1) Apply Card Lab filter
- Cardona Lab (4) Apply Cardona Lab filter
- Cui Lab (1) Apply Cui Lab filter
- Dickson Lab (1) Apply Dickson Lab filter
- Druckmann Lab (2) Apply Druckmann Lab filter
- Eddy/Rivas Lab (2) Apply Eddy/Rivas Lab filter
- Egnor Lab (1) Apply Egnor Lab filter
- Fetter Lab (3) Apply Fetter Lab filter
- Freeman Lab (1) Apply Freeman Lab filter
- Funke Lab (1) Apply Funke Lab filter
- Gonen Lab (1) Apply Gonen Lab filter
- Harris Lab (3) Apply Harris Lab filter
- Heberlein Lab (1) Apply Heberlein Lab filter
- Hess Lab (5) Apply Hess Lab filter
- Jayaraman Lab (3) Apply Jayaraman Lab filter
- Keller Lab (1) Apply Keller Lab filter
- Lavis Lab (1) Apply Lavis Lab filter
- Lee (Albert) Lab (1) Apply Lee (Albert) Lab filter
- Li Lab (1) Apply Li Lab filter
- Lippincott-Schwartz Lab (1) Apply Lippincott-Schwartz Lab filter
- Looger Lab (1) Apply Looger Lab filter
- Magee Lab (1) Apply Magee Lab filter
- Otopalik Lab (1) Apply Otopalik Lab filter
- Reiser Lab (1) Apply Reiser Lab filter
- Rubin Lab (9) Apply Rubin Lab filter
- Saalfeld Lab (6) Apply Saalfeld Lab filter
- Satou Lab (1) Apply Satou Lab filter
- Scheffer Lab (7) Apply Scheffer Lab filter
- Singer Lab (1) Apply Singer Lab filter
- Spruston Lab (2) Apply Spruston Lab filter
- Stern Lab (2) Apply Stern Lab filter
- Sternson Lab (1) Apply Sternson Lab filter
- Svoboda Lab (2) Apply Svoboda Lab filter
- Truman Lab (1) Apply Truman Lab filter
- Turaga Lab (1) Apply Turaga Lab filter
- Turner Lab (2) Apply Turner Lab filter
- Zlatic Lab (1) Apply Zlatic Lab filter
Associated Project Team
Associated Support Team
- Anatomy and Histology (1) Apply Anatomy and Histology filter
- Fly Facility (3) Apply Fly Facility filter
- Gene Targeting and Transgenics (1) Apply Gene Targeting and Transgenics filter
- Janelia Experimental Technology (3) Apply Janelia Experimental Technology filter
- Management Team (1) Apply Management Team filter
- Project Technical Resources (5) Apply Project Technical Resources filter
- Quantitative Genomics (1) Apply Quantitative Genomics filter
- Remove Scientific Computing Software filter Scientific Computing Software
- Scientific Computing Systems (1) Apply Scientific Computing Systems filter
Publication Date
56 Janelia Publications
Showing 51-56 of 56 resultsThe increasing IC manufacturing cost encourages a business model where design houses outsource IC fabrication to remote foundries. Despite cost savings, this model exposes design houses to IC piracy as remote foundries can manufacture in excess to sell on the black market. Recent efforts in digital hardware security aim to thwart piracy by using XOR-based chip locking, cryptography, and active metering. To counter direct attacks and lower the exposure of unlocked circuits to the foundry, we introduce a multiplexor-based locking strategy that preserves test response allowing IC testing by an untrusted party before activation. We demonstrate a simple yet effective attack against a locked circuit that does not preserve test response, and validate the effectiveness of our locking strategy on IWLS 2005 benchmarks.
View Publication PageReconstructing neuronal circuits at the level of synapses is a central problem in neuroscience and becoming a focus of the emerging field of connectomics. To date, electron microscopy (EM) is the most proven technique for identifying and quantifying synaptic connections. As advances in EM make acquiring larger datasets possible, subsequent manual synapse identification ({\em i.e.}, proofreading) for deciphering a connectome becomes a major time bottleneck. Here we introduce a large-scale, high-throughput, and semi-automated methodology to efficiently identify synapses. We successfully applied our methodology to the Drosophila medulla optic lobe, annotating many more synapses than previous connectome efforts. Our approaches are extensible and will make the often complicated process of synapse identification accessible to a wider-community of potential proofreaders.
Mapping the connectivity of neurons in the brain (i.e., connectomics) is a challenging problem due to both the number of connections in even the smallest organisms and the nanometer resolution required to resolve them. Because of this, previous connectomes contain only hundreds of neurons, such as in the C.elegans connectome. Recent technological advances will unlock the mysteries of increasingly large connectomes (or partial connectomes). However, the value of these maps is limited by our ability to reason with this data and understand any underlying motifs. To aid connectome analysis, we introduce algorithms to cluster similarly-shaped neurons, where 3D neuronal shapes are represented as skeletons. In particular, we propose a novel location-sensitive clustering algorithm. We show clustering results on neurons reconstructed from the Drosophila medulla that show high-accuracy.
BACKGROUND: Logos are commonly used in molecular biology to provide a compact graphical representation of the conservation pattern of a set of sequences. They render the information contained in sequence alignments or profile hidden Markov models by drawing a stack of letters for each position, where the height of the stack corresponds to the conservation at that position, and the height of each letter within a stack depends on the frequency of that letter at that position. RESULTS: We present a new tool and web server, called Skylign, which provides a unified framework for creating logos for both sequence alignments and profile hidden Markov models. In addition to static image files, Skylign creates a novel interactive logo plot for inclusion in web pages. These interactive logos enable scrolling, zooming, and inspection of underlying values. Skylign can avoid sampling bias in sequence alignments by down-weighting redundant sequences and by combining observed counts with informed priors. It also simplifies the representation of gap parameters, and can optionally scale letter heights based on alternate calculations of the conservation of a position. CONCLUSION: Skylign is available as a website, a scriptable web service with a RESTful interface, and as a software package for download. Skylign’s interactive logos are easily incorporated into a web page with just a few lines of HTML markup. Skylign may be found at http://skylign.org.
Two-photon probe excitation data are commonly presented as absorption cross section or molecular brightness (the detected fluorescence rate per molecule). We report two-photon molecular brightness spectra for a diverse set of organic and genetically encoded probes with an automated spectroscopic system based on fluorescence correlation spectroscopy. The two-photon action cross section can be extracted from molecular brightness measurements at low excitation intensities, while peak molecular brightness (the maximum molecular brightness with increasing excitation intensity) is measured at higher intensities at which probe photophysical effects become significant. The spectral shape of these two parameters was similar across all dye families tested. Peak molecular brightness spectra, which can be obtained rapidly and with reduced experimental complexity, can thus serve as a first-order approximation to cross-section spectra in determining optimal wavelengths for two-photon excitation, while providing additional information pertaining to probe photostability. The data shown should assist in probe choice and experimental design for multiphoton microscopy studies. Further, we show that, by the addition of a passive pulse splitter, nonlinear bleaching can be reduced-resulting in an enhancement of the fluorescence signal in fluorescence correlation spectroscopy by a factor of two. This increase in fluorescence signal, together with the observed resemblance of action cross section and peak brightness spectra, suggests higher-order photobleaching pathways for two-photon excitation.