University of New Mexico · Department of Physics & Astronomy · Fall 2026
Biological Physics
PHYS 480 · PHYS 581
A modular course at the interface of physics, biology, and optics. Students assemble a set of guided study modules — theory, computation, and laboratory work on the microscopes and spectrometers in the Lidke lab — in consultation with the instructor.
- Instructor
- Prof. Keith Lidke
PAIS 2218 · klidke@unm.edu - Credits
- Variable 1–3 credits
Repeatable to 6 credits total - Class meetings
- Monday & Wednesday, 15:30–16:45
PAIS 2410 / 2409 - Prerequisites
- 480: PHYS 330
581: none for physics, engineering, or biomedical sciences graduate students; consent of instructor for others
Overview
The course is not lecture-based. It is built from guided study modules covering cellular biophysics, diffusion, fluorescence spectroscopy and microscopy, single-molecule and super-resolution imaging, and computational image analysis. Half of the fourteen currently available modules include a laboratory component, carried out on the research instruments in the Lidke lab.
Module selection depends on degree program and prior background. A physics undergraduate and a biomedical sciences graduate student enrolled in the same semester will take different modules, and will work different problems within the modules they share.
There is no required text. Each module lists its own readings, drawn largely from Alberts, Molecular Biology of the Cell; Phillips et al., Physical Biology of the Cell; Nelson, Biological Physics; Lakowicz, Principles of Fluorescence Spectroscopy; and Pawley, Handbook of Biological Confocal Microscopy, together with primary literature. Copies of the main reference texts can be borrowed from the instructor.
Course format
Credits and units
Modules are valued in units according to scope and workload: most are worth one unit, and modules with extensive laboratory or advanced content are worth two. Each credit of enrollment is three module units, so a three-credit semester is nine units.
Selection and pace
Modules are chosen in consultation with the instructor and finalized in the first two weeks. Students then work through them individually — reading, problem sets, and laboratory work — meeting with the instructor regularly to review progress. Laboratory sessions are scheduled one at a time, both for instrument access and for direct instruction. Some students run two modules in parallel; others work strictly in sequence.
Structure of a module
Each module supplies curated readings, a problem set matched to the student’s background, a laboratory or computational component where applicable, and a short exam at the end. Laboratory modules end in a written report: the concentration of an unknown determined by absorbance, a measured point spread function, a fiber-coupling efficiency, a reconstructed super-resolution image.
Differentiation by program
Physics and engineering students work the theoretical derivations and computational implementations; biomedical sciences students work the experimental data analysis and biological interpretation. Graduate students are held to a higher standard on laboratory work and add a short literature review to each module.
Software and accounts
Computational work may be done in MATLAB (UNM site license), Python, or Julia. A few analysis tools are MATLAB-specific — the lab’s smite single-molecule package, for instance — and a lab workstation is available for that work. Students need a computer able to run scientific computing software and a GitHub account.
Modules
Fourteen modules are available in Fall 2026, grouped below by area. Further topics from the broader curriculum can be developed on request — see available by request.
- lab includes a laboratory component
- 2 units counts as two module units
- advanced for upper-division physics majors and graduate students; untagged modules suit all students
Biology and biological methods
- Introduction to the Biology of the CellCell structure, organelles, membranes, and the cellular processes that the later modules assume. The usual starting point for students without a biology background.
- BiochemistryProteins, nucleic acids, lipids, carbohydrates, and an overview of metabolism.
- Chemical and Bio Safety / Buffers and pHlabLaboratory safety, chemical hazards, buffer preparation, and pH. Required before any wet-bench work.
- ImmunofluorescencelabAntibody structure and classes, nanobodies, fixation, permeabilization, blocking, direct versus indirect labeling, and fluorophore selection — through to designing a multi-color experiment and the controls that make it interpretable.
Biophysics theory
- DiffusionFick's laws and random walks, the Stokes–Einstein relation, two-dimensional diffusion of membrane proteins with reflecting boundaries, three-dimensional diffusion in cytoplasm, and FRAP analysis. Includes numerical simulation of diffusion processes.
- Förster Resonant Energy TransferadvancedFörster theory and the distance dependence that makes FRET a nanometer ruler, efficiency measurement, and imaging applications.
Microscopy, spectroscopy, and optics
- Lasers and Laser SafetylabLaser types used in microscopy, safety classification, and hands-on characterization: coupling a laser into a fiber and measuring the efficiency achieved, selecting eyewear for the wavelengths in use, and the lab's standard procedure for working with lasers on the microscopes. Completing this module satisfies the UNM laser safety training requirement and clears unsupervised use of the Lidke lab microscope systems. The usual starting point for lab work.
- SpectroscopylabadvancedBeer's law, absorbance and attenuation cross sections, Jablonski diagrams and the Stokes shift, excitation and emission spectra, photomultiplier operation, dichroic mirrors and interference filters. In the lab: determine the concentration of an unknown by absorbance, then measure the excitation and emission spectra of a second sample and identify the fluorophore.
- Microscopy and Imaginglab2 unitsadvancedWidefield, confocal, phase contrast, DIC, bright field and dark field; Köhler illumination; point and array detectors (PMT, APD, hybrid; CCD, EMCCD, sCMOS); numerical aperture and depth of field; the Rayleigh, Sparrow, and Abbe resolution criteria; total internal reflection. Students assemble a filter cube, perform a gain/offset calibration, and measure a point spread function.
- Super-resolution Microscopylab2 unitsadvancedSTED/RESOLFT, SIM, and image scanning microscopy alongside the single-molecule localization methods — PALM, dSTORM, DNA-PAINT — with attention to localization precision, drift, frame connection, and the over- and under-counting that limits quantification. Students collect DNA-PAINT data on the TIRF microscope and reconstruct it with the lab's smite package.
- Single Particle TrackinglabadvancedTrajectory linking, mean squared displacement, classification of diffusive behavior, and the tracking algorithms behind them.
- Point Spread FunctionsadvancedPSF theory, Airy patterns, aberration in oil-immersion objectives, computational PSF models, and PSF measurement.
Programming and image analysis
- Programming I: Basic SkillsLanguage fundamentals, arrays, plotting, data analysis, and image handling in MATLAB, Python, or Julia. Recommended early in any sequence.
- Image Analysis IFiltering, segmentation, feature extraction, and quantitative measurement from images, in ImageJ/Fiji and in scripted analysis.
Available by request
The full curriculum runs to roughly forty modules. The topics below are planned but not yet built out as complete modules; any of them can be developed for a student with a specific research need, given notice early in the semester.
- Membranes and Lipids L
- Muscle and Motor Proteins
- Polymer Models
- Free Energy and Entropic Forces
- Ion Channels
- Molecular Dynamics
- X-ray Crystallography
- AFM and SNOM
- Optical Tweezers L
- Gel Electrophoresis L
- Bio-conjugation Techniques L
- DNA: PCR, Sequencing, Origami L
- Correlation Methods (FCS, ICS, RICS)
- Optical Design in OSLO/Zemax
- CAD and Mechanical Design
- Programming I in Python or Julia
- Image Analysis II
- Estimation Theory I: likelihood and curve fitting
- Estimation Theory II: Bayesian inference and MCMC
- GPU/CUDA Programming
- Computer Control of Instruments
- Microfluidics L
- 3D Printing L
- Develop a New Module 3 units
Recommended sequences
Suggested orderings for common degree programs, each totaling nine module units — a full three-credit enrollment. These are starting points rather than requirements; students enrolling for one or two credits take the first three or six units.
- Biology
- Theory
- Optics & microscopy
- Computation
Undergraduate, biophysics concentration
Physics majors building an optics and imaging foundation
- Lasers and Laser Safety lab
- Programming I: Basic Skills
- Spectroscopy lab
- Microscopy and Imaging lab · 2
- Super-resolution Microscopy lab · 2
- Diffusion
- Single Particle Tracking lab
Biophysics graduate I
Physics background, limited biology; first three credits
- Introduction to the Biology of the Cell
- Biochemistry
- Chemical and Bio Safety / Buffers and pH lab
- Lasers and Laser Safety lab
- Spectroscopy lab
- Microscopy and Imaging lab · 2
- Diffusion
- Single Particle Tracking lab
Biophysics graduate II
Second enrollment, building on graduate I
- Image Analysis I
- Immunofluorescence lab
- Point Spread Functions
- Förster Resonant Energy Transfer
- Super-resolution Microscopy lab · 2
- By-request modules matched to thesis work 3
Biomedical sciences graduate
Biology background, building quantitative imaging skills
- Lasers and Laser Safety lab
- Programming I: Basic Skills
- Image Analysis I
- Spectroscopy lab
- Microscopy and Imaging lab · 2
- Immunofluorescence lab
- Diffusion
- Single Particle Tracking lab
Biophotonics graduate
Optics and engineering students moving into biological imaging
- Introduction to the Biology of the Cell
- Lasers and Laser Safety lab
- Chemical and Bio Safety / Buffers and pH lab
- Spectroscopy lab
- Microscopy and Imaging lab · 2
- Immunofluorescence lab
- Super-resolution Microscopy lab · 2
Starting points
| Limited background in | Begin with |
|---|---|
| Biology | Introduction to the Biology of the Cell · Biochemistry · Chemical and Bio Safety |
| Physics or optics | Lasers and Laser Safety · Spectroscopy |
| Programming | Programming I: Basic Skills |
Safety modules come before the work they cover: Lasers and Laser Safety before any microscope use, Chemical and Bio Safety before any wet-bench work.
Enrolling
Course materials live in private repositories in the class GitHub organization, UNMBiophysicsFall2026 — one repository per module, holding the readings, problem sets, laboratory protocols, sample data, and analysis code. Enrolled students are added to the organization during the first week and receive the full syllabus — grading, policies, and schedule — along with the module repositories for their selected sequence and GitHub Classroom repositories for submitting work.
Registration is through LoboWeb: PHYS 480 for undergraduates, PHYS 581 for graduate students. A GitHub account is needed in the first week; accounts are free.
Questions about module selection, whether a by-request module can be developed around a particular research problem, or how the course fits a degree program: klidke@unm.edu, or PAIS 2218 during office hours.
Course numbering. Fall 2026 is offered under the special-topics numbers PHYS 480/581. A proposal to establish this as a permanently numbered course — PHYS 470 for undergraduates, PHYS 570 for graduate students — is in the curriculum approval process. The module structure described here follows that proposed syllabus.