Kirkland A - Search Results

1

Parakeet: a digital twin software pipeline to assess the impact of experimental parameters on tomographic reconstructions for cryo-electron tomography.

Parkhurst JM, Dumoux M, Basham M, Clare D, Siebert CA, Varslot T, Kirkland A, Naismith JH, Evans G. Parkhurst JM, et al. Among authors: kirkland a. Open Biol. 2021 Oct;11(10):210160. doi: 10.1098/rsob.210160. Epub 2021 Oct 27. Open Biol. 2021. PMID: 34699732 Free PMC article.

2

Recording low and high spatial frequencies in exit wave reconstructions.

Haigh SJ, Jiang B, Alloyeau D, Kisielowski C, Kirkland AI. Haigh SJ, et al. Among authors: kirkland ai. Ultramicroscopy. 2013 Oct;133:26-34. doi: 10.1016/j.ultramic.2013.04.012. Epub 2013 May 9. Ultramicroscopy. 2013. PMID: 23751209 Free article.

3

Low-dose phase retrieval of biological specimens using cryo-electron ptychography.

Zhou L, Song J, Kim JS, Pei X, Huang C, Boyce M, Mendonça L, Clare D, Siebert A, Allen CS, Liberti E, Stuart D, Pan X, Nellist PD, Zhang P, Kirkland AI, Wang P. Zhou L, et al. Among authors: kirkland ai. Nat Commun. 2020 Jun 2;11(1):2773. doi: 10.1038/s41467-020-16391-6. Nat Commun. 2020. PMID: 32487987 Free PMC article.

4

A composite method for the determination of the chirality of single walled carbon nanotubes.

Meyer RR, Friedrichs S, Kirkland AI, Sloan J, Hutchison JL, Green ML. Meyer RR, et al. Among authors: kirkland ai. J Microsc. 2003 Nov;212(Pt 2):152-7. doi: 10.1046/j.1365-2818.2003.01240.x. J Microsc. 2003. PMID: 14629564

5

Bright-field scanning confocal electron microscopy using a double aberration-corrected transmission electron microscope.

Wang P, Behan G, Kirkland AI, Nellist PD, Cosgriff EC, D'Alfonso AJ, Morgan AJ, Allen LJ, Hashimoto A, Takeguchi M, Mitsuishi K, Shimojo M. Wang P, et al. Among authors: kirkland ai. Ultramicroscopy. 2011 Jun;111(7):877-86. doi: 10.1016/j.ultramic.2010.10.012. Epub 2010 Oct 27. Ultramicroscopy. 2011. PMID: 21093152

6

Assessing the precision of strain measurements using electron backscatter diffraction--part 1: detector assessment.

Britton TB, Jiang J, Clough R, Tarleton E, Kirkland AI, Wilkinson AJ. Britton TB, et al. Among authors: kirkland ai. Ultramicroscopy. 2013 Dec;135:126-35. doi: 10.1016/j.ultramic.2013.08.005. Epub 2013 Aug 21. Ultramicroscopy. 2013. PMID: 24018163

7

Transformations of gold nanoparticles investigated using variable temperature high-resolution transmission electron microscopy.

Young NP, van Huis MA, Zandbergen HW, Xu H, Kirkland AI. Young NP, et al. Among authors: kirkland ai. Ultramicroscopy. 2010 Apr;110(5):506-16. doi: 10.1016/j.ultramic.2009.12.010. Epub 2009 Dec 23. Ultramicroscopy. 2010. PMID: 20083353

8

Hollow Electron Ptychographic Diffractive Imaging.

Song B, Ding Z, Allen CS, Sawada H, Zhang F, Pan X, Warner J, Kirkland AI, Wang P. Song B, et al. Phys Rev Lett. 2018 Oct 5;121(14):146101. doi: 10.1103/PhysRevLett.121.146101. Phys Rev Lett. 2018. PMID: 30339441

9

Applications of deep learning in electron microscopy.

Treder KP, Huang C, Kim JS, Kirkland AI. Treder KP, et al. Microscopy (Oxf). 2022 Feb 18;71(Supplement_1):i100-i115. doi: 10.1093/jmicro/dfab043. Microscopy (Oxf). 2022. PMID: 35275181 Review.

10

Trainable segmentation for transmission electron microscope images of inorganic nanoparticles.

Bell CG, Treder KP, Kim JS, Schuster ME, Kirkland AI, Slater TJA. Bell CG, et al. Among authors: kirkland ai. J Microsc. 2022 Dec;288(3):169-184. doi: 10.1111/jmi.13110. Epub 2022 May 11. J Microsc. 2022. PMID: 35502816 Free PMC article.

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