Sparse spectral techniques for emission imaging

Kharchenko, A.M.; Jungmann, Julia H.; MacAleese, Luke; Heeren, Ron M. A.

doi:10.1016/j.ijms.2013.04.024

Cited by 3 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ( x , y ) coordinate is found by taking the spatial “centre‐of‐mass” and binning it to the original pixel array. It is possible to employ more complicated ( x , y ) centroiding options but with a low pixel count this is not often meaningful …”

Section: Theory and Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

Modifications to a commercially available linear mass spectrometer for mass‐resolved microscopy with the pixel imaging mass spectrometry (PImMS) camera

Halford

Winter

Mills³

et al. 2014

Rapid Comm Mass Spectrometry

View full text Add to dashboard Cite

show abstract

Section: Theory and Simulationsmentioning

confidence: 99%

“…It is possible to employ more complicated (x, y) centroiding options but with a low pixel count this is not often meaningful. [35] Clusters are easily defined in (x, y), as events are always connected, but the spread of clusters in t is less well defined. Events can be separated by multiple time codes.…”

Section: Centroidingmentioning

confidence: 99%

Modifications to a commercially available linear mass spectrometer for mass‐resolved microscopy with the pixel imaging mass spectrometry (PImMS) camera

Halford

Winter

Mills³

et al. 2014

Rapid Comm Mass Spectrometry

View full text Add to dashboard Cite

show abstract

“…At lower photon energies (up to ∼ 8 keV) charge-coupled devices (CCDs) under direct illumination of X-rays were investigated for high-resolution large area detectors with single photon resolution [12,13] and for up to 17.4 keV sub-pixel resolution algorithms for fully depleted pn-junction CCDs with a pixel size of 75×75 µm 2 were developed [14]. Centroiding algorithms also play an essential role for position reconstruction of signals from micro-channel plates (MCP) [15,16]. We showed in previous studies [17][18][19] that it is possible to exploit the charge sharing effects to achieve sub-pixel position resolution in silicon hybrid strip and pixel detectors.…”

Section: Introductionmentioning

confidence: 99%

Study of the signal response of the MÖNCH 25μm pitch hybrid pixel detector at different photon absorption depths

Cartier¹,

Bergamaschi²,

Dinapoli³

et al. 2015

J. Inst.

View full text Add to dashboard Cite

MÖNCH is a 25 μm pitch hybrid silicon pixel detector with a charge integrating analog read-out front-end in each pixel. The small pixel size brings new challenges in bump-bonding, power consumption and chip design. The MÖNCH02 prototype ASIC, manufactured in UMC 110 nm technology with a field of view of 4×4 mm2 and 160×160 pixels, has been characterized in the single photon regime, i.e. with less than one photon acquired per frame on average on a 3×3 pixel cluster. The low noise and small pixel size allow spatial interpolation with high resolution. Understanding charge sharing as a function of the photon absorption depth and sensor bias is a key for optimal processing of single photon data for high resolution imaging. To characterize the charge collection of the detector, the sensor was illuminated with a 20 keV photon beam in edge-on configuration at the SYRMEP beamline of Elettra. By slicing the beam by means of a 5 μm slit and scanning through the 320 μm silicon sensor depth, the charge collection is characterized as a function of the photon absorption depth for different sensor bias voltages.

show abstract

Single-molecule localization software applied to photon counting imaging

2015

View full text Add to dashboard Cite

Centroiding in photon counting imaging has traditionally been accomplished by a single-step, noniterative algorithm, often implemented in hardware. Single-molecule localization techniques in superresolution fluorescence microscopy are conceptually similar, but use more sophisticated iterative software-based fitting algorithms to localize the fluorophore. Here, we discuss common features and differences between single-molecule localization and photon counting imaging and investigate the suitability of single-molecule localization software for photon event localization. We find that single-molecule localization software packages designed for superresolution microscopy-QuickPALM, rapidSTORM, and ThunderSTORM-can work well when applied to photon counting imaging with a microchannel-plate-based intensified camera system: photon event recognition can be excellent, fixed pattern noise can be low, and the microchannel plate pores can easily be resolved.

show abstract

Sparse spectral techniques for emission imaging

Cited by 3 publications

References 28 publications

Modifications to a commercially available linear mass spectrometer for mass‐resolved microscopy with the pixel imaging mass spectrometry (PImMS) camera

Modifications to a commercially available linear mass spectrometer for mass‐resolved microscopy with the pixel imaging mass spectrometry (PImMS) camera

Study of the signal response of the MÖNCH 25μm pitch hybrid pixel detector at different photon absorption depths

Single-molecule localization software applied to photon counting imaging

Contact Info

Product

Resources

About