X‐ray Stain Localization with Near‐Field Ptychographic Computed Tomography

Taphorn, Kirsten; Busse, Madleen; Brantl, Johannes; Günther, Benedikt; Díaz, Ana; Holler, Mirko; Dierolf, Martin; Mayr, Doris; Pfeiffer, Franz; Herzen, Julia

doi:10.1002/advs.202201723

Cited by 4 publications

(8 citation statements)

References 53 publications

(89 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prior to the basis material decomposition, a denoising algorithm was applied to the data. 6 Data shown in this article was taken from a measurement of a critical-point-dried mouse kidney stained with IKI (cf. sample CWI32 in 6 ) measured at an X-ray energy of 6.2 keV.…”

Section: Ptychographic X-ray Computed Tomography and X-ray Stainingmentioning

confidence: 99%

“…Data acquisition, processing, and post-processing denoising algorithm were performed as described in. 6 Figure 1. Workflow for the investigation of X-ray stains with ptychographic computed tomography.…”

Section: Ptychographic X-ray Computed Tomography and X-ray Stainingmentioning

confidence: 99%

“…The colormap of the iodine volume fraction overlayed to the soft tissue volume fraction clearly shows a higher iodine content in the blood capillaries and intracellular lysosomes. 6 For the theoretical analysis of noise in the basis material images for different decomposition tasks, a volumeof-interest (VOI) with a size of 10 × 30 × 280 voxels in a sample-free background region from the measurement depicted in Fig. 1 was used.…”

Section: Basis Materials Decomposition In the Image Domainmentioning

confidence: 99%

“…By means of a basis material decomposition in the image domain, the quantitative stain concentration of a contrast agent can be derived at a resolution sufficient to resolve inter cellular features. 6 The method has the potential to be applied to a variety of X-ray stains as well as soft tissue types, advancing the development of X-ray stains and improving already existing staining protocols. So far, this technique was only demonstrated for two contrast agents, namely iodine potassium iodide (IKI) and Eosin Y.…”

Section: Introductionmentioning

confidence: 99%

“…One potential limitation was the propagation of noise from the original data into the basis material images that depends on the respective decomposition task. 6 Especially in the case of a low amount of contrast agent per voxel this can become problematic. Here, we investigate the potential of this technique for other heavy element contrast agents by estimating the expected noise level in the resulting basis material images.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Investigation of x-ray stains with near-field ptychographic computed tomography

Taphorn

Busse

Brantl

et al. 2022

Developments in X-Ray Tomography XIV

Self Cite

View full text Add to dashboard Cite

A novel approach for the localization of X-ray stains in individual cells with ptychographic computed tomography was recently demonstrated. With a basis material decomposition in the image domain the quantitative stain concentration can be retrieved with nanoscopic resolution. So far, the approach was demonstrated for two different staining elements, but it has the potential to be easily applied to other contrast agents. The noise in the resulting basis materials depends on the one hand on the noise in the original data, and is furthermore given by the basis materials and specifically their attenuation properties and electron density. In this work, we theoretically predict the standard deviation in basis material images for several heavy elements. This is done by applying the material decomposition algorithm to an experimental data set. It was found that for more electron dense materials the decomposition should have lower noise in the basis material image of the stain. Furthermore, the energy used for the measurement impacts the standard deviation in the basis material images especially for materials with low atomic number, for which therefore lower X-ray energy should be used for data acquisition.

show abstract

Section: Ptychographic X-ray Computed Tomography and X-ray Stainingmentioning

confidence: 99%

Section: Ptychographic X-ray Computed Tomography and X-ray Stainingmentioning

confidence: 99%

Section: Basis Materials Decomposition In the Image Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigation of x-ray stains with near-field ptychographic computed tomography

Taphorn

Busse

Brantl

et al. 2022

Developments in X-Ray Tomography XIV

Self Cite

View full text Add to dashboard Cite

show abstract

X‐ray Stain Localization with Near‐Field Ptychographic Computed Tomography

et al. 2022

Self Cite

View full text Add to dashboard Cite

Although X-ray contrast agents offer specific characteristics in terms of targeting and attenuation, their accumulation in the tissue on a cellular level is usually not known and difficult to access, as it requires high resolution and sensitivity. Here, quantitative near-field ptychographic X-ray computed tomography is demonstrated to assess the location of X-ray stains at a resolution sufficient to identify intracellular structures by means of a basis material decomposition. On the example of two different X-ray stains, the nonspecific iodine potassium iodide, and eosin Y, which mostly interacts with proteins and peptides in the cell cytoplasm, the distribution of the stains within the cells in murine kidney samples is assessed and compared to unstained samples with similar structural features. Quantitative nanoscopic stain concentrations are in good agreement with dual-energy micro computed tomography measurements, the state-of-the-art modality for material-selective imaging. The presented approach can be applied to a variety of X-ray stains advancing the development of X-ray contrast agents.

show abstract