Multispectral lens-less microscopes and optofluidic chip readers with discrete convertors of chemical and non-optical physical signals into spectrozonal optical ones as novel instruments for medical ecology, biodiagnostics, and material quality contr

A concept of the new type of biological morphometry for the cellular and tissue levels of organization has been developed, which makes it possible to morphometrize not an optically detectable form (morphology, habitus) or other related tissue parameters, but the patterns of its response to the external stimuli / field recorded by a chip on a CMOS/CCD array, or the patterns of its own non-optical characteristics (for example, the distribution of magnetic properties and isotopy in radioautography on a chip, or a radioisotope label), forming a compartment or compartmentalized (in vesicular or liposomal compartments) pool of a substance/label, characterized by a physical property: a descriptor, the contours of which are morphometrized by the chip due to the multilevel signal conversion technique. Using multilevel signal conversion techniques in sandwich chips with multiple converters, one can achieve not only mapping of the individual characteristics, the sample descriptors, but also establish colocalization of these descriptors/characteristics over the sample area or in the microfluidic channels, that is, to obtain a correlation map of the sample properties on a chip. Using the film converters of various physical signals and sample properties into an optical signal/response in different spectral ranges on the chips with three spectrozonal channels (either with Bayer mosaic filters or their analogs with other spectrocolorimetric characteristics, or with the unified pixels capable of capturing information from all the three channels in the case of APC-S sensors, or with multilayer implementation of the spectrozonal color separation into the additive channels as in the FOVEON X3 arrays), it is possible to colocalize at least three sample parameters on a chip if each of these parameters is converted into an optical signal that strictly corresponds to the parameters of the chromatic coordinates of a particular filter (or a photodiode layer of different depths in the case of X3). In the latter case, one-to-one colocalization/mapping can be established, in which all the parameters are fixed at each point, and pixels or “sensels” of different descriptors are superimposed, which is unattainable in the case of Bayer mosaic filters and their analogues. Being not just an image, but a resolved distribution map of the certain sample properties converted into an optical signal, the sample registration file itself (a bitmap without a discrete cosine transforms simultaneously a file containing information about the descriptors characterizing the sample with position sensitivity. For each pixel of the image, a descriptor can be determined from the codes (image parameters) for a given conversion of a non-optical signal into an optical one, characterizing a compartmentalized sample.

Authors

Institutions

Publication Details

Published
2024-09-26
DOI
https://doi.org/10.1117/12.3041309
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multispectral lens-less microscopes and optofluidic chip readers with discrete convertors of chemical and non-optical physical signals into spectrozonal optical ones as novel instruments for medical ecology, biodiagnostics, and material quality contr

Олег Градов
Spectroscopy Techniques in Biomedical and Chemical Research
article

Multispectral lens-less microscopes and optofluidic chip readers with discrete convertors of chemical and non-optical physical signals into spectrozonal optical ones as novel instruments for medical ecology, biodiagnostics, and material quality contr

Олег Градов
article en

Abstract

A concept of the new type of biological morphometry for the cellular and tissue levels of organization has been developed, which makes it possible to morphometrize not an optically detectable form (morphology, habitus) or other related tissue parameters, but the patterns of its response to the external stimuli / field recorded by a chip on a CMOS/CCD array, or the patterns of its own non-optical characteristics (for example, the distribution of magnetic properties and isotopy in radioautography on a chip, or a radioisotope label), forming a compartment or compartmentalized (in vesicular or liposomal compartments) pool of a substance/label, characterized by a physical property: a descriptor, the contours of which are morphometrized by the chip due to the multilevel signal conversion technique. Using multilevel signal conversion techniques in sandwich chips with multiple converters, one can achieve not only mapping of the individual characteristics, the sample descriptors, but also establish colocalization of these descriptors/characteristics over the sample area or in the microfluidic channels, that is, to obtain a correlation map of the sample properties on a chip. Using the film converters of various physical signals and sample properties into an optical signal/response in different spectral ranges on the chips with three spectrozonal channels (either with Bayer mosaic filters or their analogs with other spectrocolorimetric characteristics, or with the unified pixels capable of capturing information from all the three channels in the case of APC-S sensors, or with multilayer implementation of the spectrozonal color separation into the additive channels as in the FOVEON X3 arrays), it is possible to colocalize at least three sample parameters on a chip if each of these parameters is converted into an optical signal that strictly corresponds to the parameters of the chromatic coordinates of a particular filter (or a photodiode layer of different depths in the case of X3). In the latter case, one-to-one colocalization/mapping can be established, in which all the parameters are fixed at each point, and pixels or “sensels” of different descriptors are superimposed, which is unattainable in the case of Bayer mosaic filters and their analogues. Being not just an image, but a resolved distribution map of the certain sample properties converted into an optical signal, the sample registration file itself (a bitmap without a discrete cosine transforms simultaneously a file containing information about the descriptors characterizing the sample with position sensitivity. For each pixel of the image, a descriptor can be determined from the codes (image parameters) for a given conversion of a non-optical signal into an optical one, characterizing a compartmentalized sample.

Semenov Institute of Chemical Physics (RU)
Life in Land
Openalex Percentile: Top 89%
Spectroscopy Techniques in Biomedical and Chemical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.