Towards a Single Cell Cancer Diagnosis. Multimodal and Monocellular Measurements of Markers and Morphology (5M)

Böcking, Alfred; Stockhausen, Jens; Meyer‐Ebrecht, D.

doi:10.1155/2004/792424

Cited by 15 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To understand why tumor cells tend to have larger membrane areas than normal cells, it is useful to consider that cancer is an entropic disease on every level of organization [ 83 , 84 , 85 ]. As it progresses, genomic [ 86 ], chromosomal [ 87 , 88 , 89 ], nuclear and cell internal structure [ 90 , 91 , 92 ] and gross cell [ 93 , 94 , 95 ] and tissue [ 85 , 96 , 97 ] morphology become increasingly disorganized until, in its later stages, tumor cells invade neighboring tissues and take flight throughout the body as circulating tumor cells that disseminate the tumor and eventually degrade even gross organismal structure. The primary measure used by pathologists to quantify how far cancer has progressed is tumor grade, defined as the degree to which cell morphology has altered and the structural organization of the tissue has broken down compared with normal, well-differentiated tissue.…”

Section: Dielectrophoretic Principles In the Separation Of Cancer mentioning

confidence: 99%

Isolation of Circulating Tumor Cells by Dielectrophoresis

Gascoyne

Shim

2014

Cancers

236

224

View full text Add to dashboard Cite

Dielectrophoresis (DEP) is an electrokinetic method that allows intrinsic dielectric properties of suspended cells to be exploited for discrimination and separation. It has emerged as a promising method for isolating circulation tumor cells (CTCs) from blood. DEP-isolation of CTCs is independent of cell surface markers. Furthermore, isolated CTCs are viable and can be maintained in culture, suggesting that DEP methods should be more generally applicable than antibody-based approaches. The aim of this article is to review and synthesize for both oncologists and biomedical engineers interested in CTC isolation the pertinent characteristics of DEP and CTCs. The aim is to promote an understanding of the factors involved in realizing DEP-based instruments having both sufficient discrimination and throughput to allow routine analysis of CTCs in clinical practice. The article brings together: (a) the principles of DEP; (b) the biological basis for the dielectric differences between CTCs and blood cells; (c) why such differences are expected to be present for all types of tumors; and (d) instrumentation requirements to process 10 mL blood specimens in less than 1 h to enable routine clinical analysis. The force equilibrium method of dielectrophoretic field-flow fractionation (DEP-FFF) is shown to offer higher discrimination and throughput than earlier DEP trapping methods and to be applicable to clinical studies.

show abstract

Section: Dielectrophoretic Principles In the Separation Of Cancer mentioning

confidence: 99%

Isolation of Circulating Tumor Cells by Dielectrophoresis

Gascoyne

Shim

2014

Cancers

236

224

View full text Add to dashboard Cite

show abstract

“…6 In cellular diagnostics, screening consists of discriminating cancer and normal cells either by recognizing specific cancer cell characteristics, e.g. morphological 7 or mechanical 8 properties, or by selectively targeting cancer cells with traceable markers, such as fluorescent or spectroscopically active molecules. 4,9 This traceability can be exploited for cell sorting, for example in flow-cytometry assays.…”

Section: Introductionmentioning

confidence: 99%

Folate-based single cell screening using surface enhanced Raman microimaging

et al. 2016

View full text Add to dashboard Cite

Recent progress in nanotechnology and its application to biomedical settings have generated great advantages in dealing with early cancer diagnosis. The identification of the specific properties of cancer cells, such as the expression of particular plasma membrane molecular receptors, has become crucial in revealing the presence and in assessing the stage of development of the disease. Here we report a single cell screening approach based on Surface Enhanced Raman Scattering (SERS) microimaging. We fabricated a SERS-labelled nanovector based on the biofunctionalization of gold nanoparticles with folic acid. After treating the cells with the nanovector, we were able to distinguish three different cell populations from different cell lines (cancer HeLa and PC-3, and normal HaCaT lines), suitably chosen for their different expressions of folate binding proteins. The nanovector, indeed, binds much more efficiently on cancer cell lines than on normal ones, resulting in a higher SERS signal measured on cancer cells. These results pave the way for applications in single cell diagnostics and, potentially, in theranostics.

show abstract

“…which utilises specimen (for example smears) on microscope slides for repetitive staining. The combination of specific information about identical cells in different stains yields multivariate statistics, which allow a further increase of diagnostic accuracy [2].…”

Section: Introductionmentioning

confidence: 99%

Automatic scene comparison and matching in multimodal cytopathological microscopic images

Ropers

Bell

Würflinger

et al. 2005

IEEE International Conference on Image Processing 2005

View full text Add to dashboard Cite

The potential of cytopathologic diagnoses to detect cancer of a variety of types non-invasively, cost-efficiently and up to three years ahead of conventional histopathologic diagnoses can be increased by the application of adjuvant methods, i.e. the combination of different stainings. For further improvement of cytopathology we introduced Multimodal Cell Analysis (MMCA) which combines specific information about identical cells in different stainings successively applied to the same microscope slide. This requires a precise relocation and coregistration of individual cells under scrutiny. As a precondition for application in daily routine and screening settings the crucial relocation of cells has to be automated.The paper describes a method for an automatic retrieval of images of cells which have already been selected and recorded in a preceding staining together with their coordinates. Due to inevitable mechanical inaccuracies the geometric match is insufficient. The comparison of nuclear constellations based on segmentations in both stains facilitates an automatic correction of the position even if there is a sub-scene matching only. The process furthermore generates the initial guess for the succeeding coregistration which thereby gains robustness. The success rate of the method described is about 85%.

show abstract

Towards a Single Cell Cancer Diagnosis. Multimodal and Monocellular Measurements of Markers and Morphology (5M)

Cited by 15 publications

References 13 publications

Isolation of Circulating Tumor Cells by Dielectrophoresis

Isolation of Circulating Tumor Cells by Dielectrophoresis

Folate-based single cell screening using surface enhanced Raman microimaging

Automatic scene comparison and matching in multimodal cytopathological microscopic images

Contact Info

Product

Resources

About