Computer-assisted image analysis of small cell lymphoma of the thyroid gland

Eldar, Samuel; Sabo, Edmond; Cohen, Ayala; Misselevich, Ines; Cohen, Oded; J, Kelner; Mor, C.; Shvero, Jacob; Feinmesser, Raphael; Shibi, J.; Shabtai, Moshe; Bejar, Jacob; Boss, J. H.

doi:10.1016/s0895-6111(98)00056-1

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…Experiments in which individual cells adhere to biologically-activated surfaces provide useful information about cellular morphology and physiology (e.g., in platelets 25 , 26 , red blood cells 58 , and mixtures of cell types designed to investigate cell-cell interactions 59 ). These same cellular morphological and functional metrics form the backbone of digital pathology of blood smears 60 – 62 . Isolated cells were adhered to coated surfaces 25 , 58 .…”

Section: Resultsmentioning

confidence: 97%

iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays

Fay,

Oshinowo,

Iffrig

et al. 2023

Nat Commun

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While microscopy-based cellular assays, including microfluidics, have significantly advanced over the last several decades, there has not been concurrent development of widely-accessible techniques to analyze time-dependent microscopy data incorporating phenomena such as fluid flow and dynamic cell adhesion. As such, experimentalists typically rely on error-prone and time-consuming manual analysis, resulting in lost resolution and missed opportunities for innovative metrics. We present a user-adaptable toolkit packaged into the open-source, standalone Interactive Cellular assay Labeled Observation and Tracking Software (iCLOTS). We benchmark cell adhesion, single-cell tracking, velocity profile, and multiscale microfluidic-centric applications with blood samples, the prototypical biofluid specimen. Moreover, machine learning algorithms characterize previously imperceptible data groupings from numerical outputs. Free to download/use, iCLOTS addresses a need for a field stymied by a lack of analytical tools for innovative, physiologically-relevant assays of any design, democratizing use of well-validated algorithms for all end-user biomedical researchers who would benefit from advanced computational methods.

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