2018
DOI: 10.1101/432674
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NanoJ: a high-performance open-source super-resolution microscopy toolbox

Abstract: Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was de-veloped for. In this … Show more

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Cited by 31 publications
(41 citation statements)
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“…Islets were allowed to equilibrate for another 2 min, followed by multiple imaging series of 320-s cycles. Image series were concatenated, drift was corrected by the Nano J-Core ImageJ plugin (75), and intensity profiles and kymographs were generated for quantification.…”
Section: Static Secretionmentioning
confidence: 99%
“…Islets were allowed to equilibrate for another 2 min, followed by multiple imaging series of 320-s cycles. Image series were concatenated, drift was corrected by the Nano J-Core ImageJ plugin (75), and intensity profiles and kymographs were generated for quantification.…”
Section: Static Secretionmentioning
confidence: 99%
“…CdvB is part of the ESCRT-III-mediated cell division ring in archaea, and was previously suggested to be a core part of the cell division machinery (15)(16)(17)31). Given this, why would an increase in the level of this key division protein be associated with the inability to divide?…”
Section: Proteasomal Targets During Cell Divisionmentioning
confidence: 99%
“…Graph in Supp. Notes S1.2) was compensated using image post-processing inside the localization software ThunderSTORM [52] or the Nano-J suite [53] in Fiji [49]. A second MQTT-enabled smartphone acting as a remote control enables the coupling efficiency and focus position to be adjusted without touching the imaging device.…”
Section: Sr Reconstruction Of Compressed and Raw Measurements And Flumentioning
confidence: 99%