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Quantitative Image Restoration in Bright Field Optical Microscopy.

ABSTRACT: Bright field (BF) optical microscopy is regarded as a poor method to observe unstained biological samples due to intrinsic low image contrast. We introduce quantitative image restoration in bright field (QRBF), a digital image processing method that restores out-of-focus BF images of unstained cells. Our procedure is based on deconvolution, using a point spread function modeled from theory. By comparing with reference images of bacteria observed in fluorescence, we show that QRBF faithfully recovers shape and enables quantify size of individual cells, even from a single input image. We applied QRBF in a high-throughput image cytometer to assess shape changes in Escherichia coli during hyperosmotic shock, finding size heterogeneity. We demonstrate that QRBF is also applicable to eukaryotic cells (yeast). Altogether, digital restoration emerges as a straightforward alternative to methods designed to generate contrast in BF imaging for quantitative analysis.

SUBMITTER: Gutierrez-Medina B

PROVIDER: S-EPMC5685650 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Quantitative Image Restoration in Bright Field Optical Microscopy.

Gutiérrez-Medina Braulio B Sánchez Miranda Manuel de Jesús MJ

Biophysical journal 20171004 9

Bright field (BF) optical microscopy is regarded as a poor method to observe unstained biological samples due to intrinsic low image contrast. We introduce quantitative image restoration in bright field (QRBF), a digital image processing method that restores out-of-focus BF images of unstained cells. Our procedure is based on deconvolution, using a point spread function modeled from theory. By comparing with reference images of bacteria observed in fluorescence, we show that QRBF faithfully reco ...[more]

PMID: 28988026

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