Challenges in quantitative single molecule localization microscopy.

Single molecule localization microscopy (SMLM), which can provide up to an order of magnitude improvement in spatial resolution over conventional fluorescence microscopy, has the potential to be a highly useful tool for quantitative biological experiments. It has already been used for this purpose in varied fields in biology, ranging from molecular biology to neuroscience. In this review article, we briefly review the applications of SMLM in quantitative biology, and also the challenges involved and some of the solutions that have been proposed. Due to its advantages in labeling specificity and the relatively low overcounting caused by photoblinking when photo-activable fluorescent proteins (PA-FPs) are used as labels, we focus specifically on Photo-Activated Localization Microscopy (PALM), even though the ideas presented might be applicable to SMLM in general. Also, we focus on the following three quantitative measurements: single molecule counting, analysis of protein spatial distribution heterogeneity and co-localization analysis.

Progress in quantitative single-molecule localization microscopy.

With the advent of single-molecule localization microscopy (SMLM) techniques, intracellular proteins can be imaged at unprecedented resolution with high specificity and contrast. These techniques can lead to a better understanding of cell functioning, as they allow, among other applications, counting the number of molecules of a protein specie in a single cell, studying the heterogeneity in protein spatial organization, and probing the spatial interactions between different protein species. However, the use of these techniques for accurate quantitative measurements requires corrections for multiple inherent sources of error, including: overcounting due to multiple localizations of a single fluorophore (i.e., photoblinking), undercounting caused by incomplete photoconversion, uncertainty in the localization of single molecules, sample drift during the long imaging time, and inaccurate image registration in the case of dual-color imaging. In this paper, we review recent efforts that address some of these sources of error in quantitative SMLM and give examples in the context of photoactivated localization microscopy (PALM).

Self-calibrated concentration measurements of polydisperse nanoparticles.

Quantitative characterization of nanoparticles, e.g. accurate estimation of concentration distributions, is critical to many pharmaceutical and biological applications. We present a method that enables for the first time highly accurate size and absolute concentration measurements of polydisperse nanoparticles in solution, based on fluorescence single particle tracking, that are self-calibrated in the sense that the detection region volume is estimated based on the tracking data. The method is evaluated using simulations and experimental data of polystyrene nanospheres in water/sucrose solution. In addition, the method is used to quantify aggregation and clearance of different types of liposomes after intravenous injection in rats, where additional and more accurate information can be obtained that was previously unavailable, which can help elucidate their usefulness as drug carriers.

Measuring absolute nanoparticle number concentrations from particle count time series.

Single-particle microscopy is important for characterization of nanoparticulate matter for which accurate concentration measurements are crucial. We introduce a method for estimating absolute number concentrations in nanoparticle dispersions based on a fluctuating time series of particle counts, known as a Smoluchowski process. Thus, unambiguous tracking of particles is not required and identification of single particles is sufficient. However, the diffusion coefficient of the particles must be estimated separately. The proposed method does not require precalibration of the detection region volume, as this can be estimated directly from the observations. We evaluate the method in a simulation study and on experimental data from a series of dilutions of 0.2- and 0.5-µm polymer nanospheres in water, obtaining very good agreement with reference values.

Photopolymerized thermosensitive hydrogels for tailorable diffusion-controlled protein delivery.

In this paper the possibility to tailor degradation and protein release behavior of photopolymerized thermosensitive hydrogels is studied. The hydrogels consist of ABA triblock copolymer, in which the thermosensitive A-blocks are methacrylated poly(N-(2-hydroxypropyl)methacrylamide lactate)s and the B-block is poly(ethylene glycol) with molecular weight of 10 kDa. These hydrogels are prepared by using a combination of physical and chemical cross-linking methods. When a solution of a thermosensitive methacrylated p(HPMAm-lac)-PEG-p(HPMAm-lac) is heated above its cloud point a viscoelastic material is obtained, which can be stabilized by introducing covalent cross-links by photopolymerization. By varying the polymer concentration, hydrogels with different mechanical properties are formed, of which the cross-linking density, mesh size, swelling and degradation behavior can be tuned. It was demonstrated that the release rate of three model proteins (lysozyme, BSA and IgG, with hydrodynamic diameters ranging from 4.1 to 10.7 nm) depended on the protein size and hydrogel molecular weight between cross-links and was governed by the Fickian diffusion. Importantly, the encapsulated proteins were quantitatively released and the secondary structure and the enzymatic activity of lysozyme were fully preserved demonstrating the protein friendly nature of the studied delivery system.