Deep learning in image-based phenotypic drug discovery

D Krentzel, SL Shorte, C Zimmer - Trends in Cell Biology, 2023 - cell.com
Modern drug discovery approaches often use high-content imaging to systematically study
the effect on cells of large libraries of chemical compounds. By automatically screening …

Optimizing the Cell Painting assay for image-based profiling

BA Cimini, SN Chandrasekaran, M Kost-Alimova… - Nature protocols, 2023 - nature.com
In image-based profiling, software extracts thousands of morphological features of cells from
multi-channel fluorescence microscopy images, yielding single-cell profiles that can be used …

In-cell structural biology by NMR: the benefits of the atomic scale

FX Theillet - Chemical reviews, 2022 - ACS Publications
In-cell structural biology aims at extracting structural information about proteins or nucleic
acids in their native, cellular environment. This emerging field holds great promise and is …

Small-molecule fluorogenic probes for mitochondrial nanoscale imaging

R Zhai, B Fang, Y Lai, B Peng, H Bai, X Liu… - Chemical Society …, 2023 - pubs.rsc.org
Mitochondria are inextricably linked to the development of diseases and cell metabolism
disorders. Super-resolution imaging (SRI) is crucial in enhancing our understanding of …

Morphology and gene expression profiling provide complementary information for mapping cell state

GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang… - Cell systems, 2022 - cell.com
Morphological and gene expression profiling can cost-effectively capture thousands of
features in thousands of samples across perturbations by disease, mutation, or drug …

In-cell NMR: Why and how?

FX Theillet, E Luchinat - Progress in Nuclear Magnetic Resonance …, 2022 - Elsevier
NMR spectroscopy has been applied to cells and tissues analysis since its beginnings, as
early as 1950. We have attempted to gather here in a didactic fashion the broad diversity of …

A crop image segmentation and extraction algorithm based on mask RCNN

S Wang, G Sun, B Zheng, Y Du - Entropy, 2021 - mdpi.com
The wide variety of crops in the image of agricultural products and the confusion with the
surrounding environment information makes it difficult for traditional methods to extract crops …

Deep learning for bioimage analysis in developmental biology

A Hallou, HG Yevick, B Dumitrascu… - Development, 2021 - journals.biologists.com
Deep learning has transformed the way large and complex image datasets can be
processed, reshaping what is possible in bioimage analysis. As the complexity and size of …

Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations

SN Chandrasekaran, BA Cimini, A Goodale, L Miller… - Nature …, 2024 - nature.com
The identification of genetic and chemical perturbations with similar impacts on cell
morphology can elucidate compounds' mechanisms of action or novel regulators of genetic …

Cell Painting predicts impact of lung cancer variants

JC Caicedo, J Arevalo, F Piccioni… - Molecular biology of …, 2022 - Am Soc Cell Biol
Most variants in most genes across most organisms have an unknown impact on the
function of the corresponding gene. This gap in knowledge is especially acute in cancer …