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		<title>WikiSysop: Created page with &quot;== Citation ==  Himes, Benjamin / Grigorieff, Nikolaus. Cryo-TEM simulations of amorphous radiation-sensitive samples using multislice wave propagation. 2021. IUCrJ, Vol. 8, No. 6, p. 943-953  == Abstract ==  Image simulation plays a central role in the development and practice of highresolution electron microscopy, including transmission electron microscopy of frozen-hydrated specimens (cryo-EM). Simulating images with contrast that matches the contrast observed in expe...&quot;</title>
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		<updated>2024-07-16T06:53:44Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Himes, Benjamin / Grigorieff, Nikolaus. Cryo-TEM simulations of amorphous radiation-sensitive samples using multislice wave propagation. 2021. IUCrJ, Vol. 8, No. 6, p. 943-953  == Abstract ==  Image simulation plays a central role in the development and practice of highresolution electron microscopy, including transmission electron microscopy of frozen-hydrated specimens (cryo-EM). Simulating images with contrast that matches the contrast observed in expe...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
&lt;br /&gt;
Himes, Benjamin / Grigorieff, Nikolaus. Cryo-TEM simulations of amorphous radiation-sensitive samples using multislice wave propagation. 2021. IUCrJ, Vol. 8, No. 6, p. 943-953&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Image simulation plays a central role in the development and practice of highresolution&lt;br /&gt;
electron microscopy, including transmission electron microscopy of&lt;br /&gt;
frozen-hydrated specimens (cryo-EM). Simulating images with contrast that&lt;br /&gt;
matches the contrast observed in experimental images remains challenging,&lt;br /&gt;
especially for amorphous samples. Current state-of-the-art simulators apply post&lt;br /&gt;
hoc scaling to approximate empirical solvent contrast, attenuated image&lt;br /&gt;
intensity due to specimen thickness and amplitude contrast. This practice fails&lt;br /&gt;
for images that require spatially variable scaling, e.g. simulations of a crowded or&lt;br /&gt;
cellular environment. Modeling both the signal and the noise accurately is&lt;br /&gt;
necessary to simulate images of biological specimens with contrast that is correct&lt;br /&gt;
on an absolute scale. The ‘frozen plasmon’ method is introduced to explicitly&lt;br /&gt;
model spatially variable inelastic scattering processes in cryo-EM specimens.&lt;br /&gt;
This approach produces amplitude contrast that depends on the atomic&lt;br /&gt;
composition of the specimen, reproduces the total inelastic mean free path as&lt;br /&gt;
observed experimentally and allows for the incorporation of radiation damage&lt;br /&gt;
in the simulation. These improvements are quantified using the matched filter&lt;br /&gt;
concept to compare simulation and experiment. The frozen plasmon method, in&lt;br /&gt;
combination with a new mathematical formulation for accurately sampling the&lt;br /&gt;
tabulated atomic scattering potentials onto a Cartesian grid, is implemented in&lt;br /&gt;
the open-source software package cisTEM.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://journals.iucr.org/m/issues/2021/06/00/rq5007/rq5007.pdf&lt;br /&gt;
&lt;br /&gt;
== Related software ==&lt;br /&gt;
&lt;br /&gt;
== Related methods ==&lt;br /&gt;
&lt;br /&gt;
== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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