Main Menu (Mobile)- Block

Main Menu - Block

custom | custom

Search Results

filters_region_cap | custom

Filter

facetapi-Q2b17qCsTdECvJIqZJgYMaGsr8vANl1n | block
facetapi-W9JlIB1X0bjs93n1Alu3wHJQTTgDCBGe | block
facetapi-61yz1V0li8B1bixrCWxdAe2aYiEXdhd0 | block
facetapi-PV5lg7xuz68EAY8eakJzrcmwtdGEnxR0 | block
general_search_page-panel_pane_1 | views_panes

15 Janelia Publications

Showing 11-15 of 15 results
Your Criteria:
    08/04/17 | Best practices for managing large CryoEM facilities.
    Alewijnse B, Ashton AW, Chambers MG, Chen S, Cheng A, Ebrahim M, Eng ET, Hagen WJ, Koster AJ, Lopez CS, Lukoyanova N, Ortega J, Renault L, Reyntjens S, Rice WJ, Scapin G, Schrijver R, Siebert A, Stagg SM, et al
    Journal of Structural Biology. 2017-08-04;199(3):225-36. doi: 10.1016/j.jsb.2017.07.011

    This paper provides an overview of the discussion and presentations from the Workshop on the Management of Large CryoEM Facilities held at the New York Structural Biology Center, New York, NY on February 6–7, 2017. A major objective of the workshop was to discuss best practices for managing cryoEM facilities. The discussions were largely focused on supporting single-particle methods for cryoEM and topics included: user access, assessing projects, workflow, sample handling, microscopy, data management and processing, and user training.

    View Publication Page
    08/03/17 | Multi-scale approaches for high-speed imaging and analysis of large neural populations.
    Friedrich J, Yang W, Soudry D, Mu Y, Ahrens MB, Yuste R, Peterka DS, Paninski L
    PLoS Computational Biology. 2017 Aug 03;13(8):e1005685. doi: 10.1371/journal.pcbi.1005685

    Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noise, and field of view: with current recording technology we cannot image very large neuronal populations with simultaneously high spatial and temporal resolution. Here we describe multi-scale approaches for alleviating both of these bottlenecks. First, we show that spatial and temporal decimation techniques based on simple local averaging provide order-of-magnitude speedups in spatiotemporally demixing calcium video data into estimates of single-cell neural activity. Second, once the shapes of individual neurons have been identified at fine scale (e.g., after an initial phase of conventional imaging with standard temporal and spatial resolution), we find that the spatial/temporal resolution tradeoff shifts dramatically: after demixing we can accurately recover denoised fluorescence traces and deconvolved neural activity of each individual neuron from coarse scale data that has been spatially decimated by an order of magnitude. This offers a cheap method for compressing this large video data, and also implies that it is possible to either speed up imaging significantly, or to "zoom out" by a corresponding factor to image order-of-magnitude larger neuronal populations with minimal loss in accuracy or temporal resolution.

    View Publication Page
    Ji Lab
    08/01/17 | Adaptive optical versus spherical aberration corrections for in vivo brain imaging.
    Biomedical Optics Express. 2017 Aug;8(8):3891-902. doi: 10.1364/BOE.8.003891

    Adjusting the objective correction collar is a widely used approach to correct spherical aberrations (SA) in optical microscopy. In this work, we characterized and compared its performance with adaptive optics in the context of in vivo brain imaging with two-photon fluorescence microscopy. We found that the presence of sample tilt had a deleterious effect on the performance of SA-only correction. At large tilt angles, adjusting the correction collar even worsened image quality. In contrast, adaptive optical correction always recovered optimal imaging performance regardless of sample tilt. The extent of improvement with adaptive optics was dependent on object size, with smaller objects having larger relative gains in signal intensity and image sharpness. These observations translate into a superior performance of adaptive optics for structural and functional brain imaging applications in vivo, as we confirmed experimentally.

    View Publication Page
    Looger LabSchreiter Lab
    08/01/17 | Genetically encoded biosensors.
    Marvin JS, Looger LL, Lee RT, Schreiter ER
    USPTO. 2017 Aug 01;B2:

    The present disclosure provides, inter alia, genetically encoded recombinant peptide biosensors comprising analyte-binding framework portions and signaling portions, wherein the signaling portions are present within the framework portions at sites or amino acid positions that undergo a conformational change upon interaction of the framework portion with an analyte.

    View Publication Page
    Cui Lab
    08/01/17 | Volume imaging.
    Cui M, Kong L
    USPTO. 2017 Aug 01;B2:

    A system for a laser-scanning microscope includes an optical element configured to transmit light in a first direction onto a first beam path and to reflect light in a second direction to a second beam path that is different from the first beam path; a reflector on the first beam path; and a lens including a variable focal length, the lens positioned on the first beam path. The lens and reflector are positioned relative to each other to cause light transmitted by the optical element to pass through the lens a plurality of times and in a different direction each time. In some implementations, the system also can include a feedback system that receives a signal that represents an amount of focusing of the lens, and changes the focal length of the lens based on the received signal.

    View Publication Page