Multi-parameter flow cytometry has been extensively used in multiple disciplines of biological discoveries, including immunology and cancer research. However, the disadvantage of traditional flow cytometry platforms using excitation lasers and fluorescence detectors is spectral overlap when using multiple dyes on the same biological sample. Metaethical compensation of spectral overlap could only be effective to a certain degree. Mass cytometry is advantageous compared to flow cytometry but is pricey and requires highly skilled operators. 

Immunotherapy is a cutting-edge new category of treatment that aims to harness and, in some cases, modify the patient’s own immune cells to improve their ability to cure diseases. It can be an effective approach for a variety of conditions, ranging from cancer to inflammatory diseases.  However, a number of obstacles to the overall success of immunotherapy still exist.  For example, reactivity against a target antigen can be attenuated or the lifespan of the “modified” immune cells can be too short.

The COVID-19 pandemic is a worldwide public health crisis with over 440 million confirmed cases and 6.0 million deaths as of March 2022. COVID-19 is caused by a novel coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). While there are several vaccines available for COVID-19, there are few therapeutics available that specifically target SARS-CoV-2. Middle East respiratory syndrome coronavirus (MERS-CoV) is less understood than SARS-CoV-2. MERS-CoV patients have a 65% long-term survival rate, according the World Health Organization (WHO).

Vaccines have become one of the most important tools in the fight against cancers and infectious diseases. However, some vaccines have shown limitations due to their high cost and low immune responses. To overcome these limitations, bacteriophages were proposed for the development of more cost-effective, immunogenic vaccines. Phages have shown a strong ability to activate induced and adaptive immune systems. The genome of these viral particles can be engineered, and their surface proteins can be exploited for antigen display.

Human papillomavirus (HPV) is a group of human viruses known to cause various malignancies. Of the group, HPV-16 is the most prevalent strain – an estimated 90% of adults have been exposed. HPV-16 is also the strain most commonly associated with malignancy, causing the vast majority of cervical, anal, vaginal, vulvar, and penile cancers. Currently, HPV-positive malignancies non-responsive to surgery or radiation are incurable and poorly palliated by existing systemic therapies. Thus, an alternative therapeutic approach for HPV-positive malignancies is needed. 

Human papillomavirus (HPV) is a group of human viruses known to cause various malignancies. Of the group, HPV-16 is the most prevalent strain – an estimated 90% of adults have been exposed. HPV-16 is also the strain most commonly associated with malignancy, causing the vast majority of cervical, anal, vaginal, vulvar, and penile cancers. Currently, HPV-positive malignancies non-responsive to surgery or radiation are incurable and poorly palliated by existing systemic therapies. Thus, an alternative therapeutic approach for HPV-positive malignancies is needed. 

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This resulted in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.

The Corona virus disease, 2019 (COVID-19) pandemic is a worldwide public health crisis with over 153 million confirmed cases and 3.2 million deaths as of April 2021. COVID-19 is caused by a novel coronavirus called SARS-CoV-2. SARS-COV-2 infects hosts via its spike (S) protein, which has two portions, S1 that binds the cell and S2 that is involved in viral entry via fusion with the cell membrane. There are several vaccines available for COVID-19 patients that directly target SARS-CoV-2 by systemic immunization.

Bioluminescence imaging with luciferin-luciferase pairs is a well-established technique for tracking cells and other biological features in animal models. Bioluminescent is a chemical process which does not require an external input for excitation. Bioluminescent imaging is often limited to monitoring single processes in vivo due to the lack of distinguishable probes. Additionally, existing probes typically operate with light in the visible range, which is highly scattered and exhibits poor tissue penetration.