An optical microscope is described that reveals contrast in the Mueller matrix images of a thin, transparent, or semi-transparent specimen located within an anisotropic object plane (anisotropic filter). The specimen changes the anisotropy of the filter and thereby produces contrast within the Mueller matrix images. Here we use an anisotropic filter composed of a semi-transparent, nanostructured thin film with sub-wavelength thickness placed within the object plane. The sample is illuminated as in common optical microscopy but the light is modulated in its polarization using combinations of linear polarizers and phase plate (compensator) to control and analyze the state of polarization. Direct generalized ellipsometry data analysis approaches permit extraction of fundamental Mueller matrix object plane images dispensing with the need of Fourier expansion methods. Generalized ellipsometry model approaches are used for quantitative image analyses. These images are obtained from sets of multiple images obtained under various polarizer, analyzer, and compensator settings. Up to 16 independent Mueller matrix images can be obtained, while our current setup is limited to 11 images normalized by the unpolarized intensity. We demonstrate the anisotropic contrast optical microscope by measuring lithographically defined micro-patterned anisotropic filters, and we quantify the adsorption of an organic self-assembled monolayer film onto the anisotropic filter. Comparison with an isotropic glass slide demonstrates the image enhancement obtained by our method over microscopy without the use of an anisotropic filter. In our current instrument, we estimate the limit of detection for organic volumetric mass within the object plane of ≈49 fg within ≈7 × 7 μm object surface area. Compared to a quartz crystal microbalance with dissipation instrumentation, where contemporary limits require a total load of ≈500 pg for detection, the instrumentation demonstrated here improves sensitivity to a total mass required for detection by 4 orders of magnitude. We detail the design and operation principles of the anisotropic contrast optical microscope, and we present further applications to the detection of nanoparticles, to novel approaches for imaging chromatography and to new contrast modalities for observations on living cells.

Download full-text PDF

Source
http://dx.doi.org/10.1063/1.4965878DOI Listing

Publication Analysis

Top Keywords

optical microscope
16
mueller matrix
16
object plane
16
anisotropic filter
16
anisotropic contrast
12
contrast optical
12
matrix images
12
anisotropic
9
contrast mueller
8
generalized ellipsometry
8

Similar Publications

Photopyroelectric tweezers for versatile manipulation.

Innovation (Camb)

January 2025

Center for Intelligent Biomedical Materials and Devices (IBMD), Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.

Optical tweezers and related techniques offer extraordinary opportunities for research and applications in physical, biological, and medical fields. However, certain critical requirements, such as high-intensity laser beams, sophisticated electrode designs, additional electric sources, or low-conductive media, significantly impede their flexibility and adaptability, thus hindering their practical applications. Here, we report innovative photopyroelectric tweezers (PPT) that combine the advantages of light and electric field by utilizing a rationally designed photopyroelectric substrate with efficient and durable photo-induced surface charge-generation capability, enabling diverse manipulation in various working scenarios.

View Article and Find Full Text PDF

This research investigates the microbial inactivation potential of ternary TiO-CuO-chitosan nanocomposites (TCC NCs) applied as surface coatings on cowhide leather. Initially, bare TiO nanoparticles (NPs) and binary TiO-CuO (TC) NCs, with varying CuO NPs content, were prepared using an sol-gel method. These binary TC NCs were then modified with chitosan at varying weight percentages (2%, 4%, 6%, and 8%).

View Article and Find Full Text PDF

In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.

J Imaging Inform Med

January 2025

Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.

The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.

View Article and Find Full Text PDF

The advent of two-dimensional van der Waals materials is a frontier of condensed matter physics and quantum devices. However, characterizing such materials remains challenging due to the limitations of bulk material techniques, necessitating the development of specialized methods. Here, we investigate the superconducting properties of BiSrCaCuO flakes by integrating them with a hybrid superconducting microwave resonator.

View Article and Find Full Text PDF

Cryopreservation is a widely used technique to preserve biological samples for extended periods of time at low temperatures. Even though it is known to have significant effects on cell viability, its effect on their metabolism remains unexplored. Studying how cryopreservation influences the metabolism of cells is important to guarantee the reliability of samples transported between sites for analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!